RPA / Automation Engineer (Python + AI Agents) — 1-month contract (Google Workspace, Kafka, S3, Redshift, Jira, Zendesk, Zoho)

@augurstech

A Warm Hello! We are readily available to start working on this project! Thank you for the detailed brief. This is exactly the kind of code-first automation work our agency specializes in—turning spreadsheet-heavy, manual Ops and Finance workflows into reliable, production-grade pipelines powered by Python, data engineering discipline, and AI agents with proper guardrails. We are confident we can make Week 1 a clear “yes” for continuing the engagement by delivering a robust, production-ready Ticket Intelligence system and setting the foundation to scale to 12–15 automations in the month. Happy to jump on a call to align on access, data schema, and priorities so we can begin immediately. Warm regards, Ana

@Guptapuru304

We have successfully delivered similar automation projects, aligning perfectly with your requirements for a code-first approach to RPA/Automation using Python and AI agents. At Puru Gupta's firm, we specialize in intelligent automation systems, ensuring robust, scalable, and maintainable solutions—tailored to your specific needs. Our extensive experience with AI-first product development, particularly in building scalable automations and AI agents, aligns seamlessly with your project's tech stack (Google Workspace, Kafka, S3, Redshift, and more). We bring expert knowledge in integrating AI for intelligent anomaly detection and trend analysis, as requested. We propose a clear roadmap for Week 1's priority build, leveraging our expertise in n8n workflows for seamless integration and automation, ensuring quality and production-ready deliverables. Our track record of 200+ successful client projects demonstrates our commitment to exceeding expectations. Q: Could you provide more details on your current manual workflows for better customization? Q: Are there any specific KPIs we should prioritize for the Week 1 deliverable? We are eager to collaborate and deliver transformative solutions. Please review our portfolio for relevant examples, and let's discuss your project in detail. Best regards, Puru Gupta

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Efficient Automations with RPA/AI Expertise ❇️ Hi My Friend, I hope you are doing well. I reviewed your project details and see you are looking for an RPA/Automation Engineer. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for automation solutions. I will create code-first automations that are production-ready and shipped weekly, ensuring they are bug-free and deployable right away. ➡️ Why Me? I can easily handle your automation needs as I have 5 years of experience in Python automation, working with tools like Google Workspace, Kafka, and Redshift. My skills include workflow design, data integration, and AI-driven solutions. Additionally, I have a strong grip on Jira, Zendesk, and Zoho CRM, allowing for seamless integration and efficient operations. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work and explain how I will meet your expectations. Looking forward to our chat! ➡️ Skills & Experience: ✅ Python Programming ✅ RPA Development ✅ Google Workspace ✅ Kafka Integration ✅ Amazon S3 ✅ Amazon Redshift ✅ Jira Management ✅ Zendesk Automation ✅ Zoho CRM ✅ Data Normalization ✅ AI Implementations ✅ Workflow Design Waiting for your response! Best Regards, Zohaib

@technosystem

As an experienced full-stack developer and mobile app specialist, I understand the importance of reliable, efficient, and code-first automations. Throughout my career, I've successfully delivered projects that required integrating complex systems and streamlining processes. Using my deep understanding of Python and its potential for automation, I can help transform your voice AI's operations and financial workflows into a streamlined, expedient process. Given my proficiency in Excel and Python combined with my prior experience in building automated workflows across different platforms, including Google Workspace, Kafka, S3, Redshift, Jira, Zendesk and Zoho CRM, I'm well-equipped to hit the ground running from week one. I meticulously plan out delivering 2-3 smaller automations as well as creating the "Unified Ticket + Issue Intelligence" workflow which will form the backbone of your processes within this pivotal first week. Idempotency/retries are vital aspects considering your project scale. My relevant projects combined with my strong handle on ensuring safe data processing make me ideally suited to tackle such challenges efficiently. Moreover, with a demonstrated history of adapting to new technologies seamlessly - including AI integration - and effectively leading end-to-end development projects similar to yours, I am confident about my ability to not just meet but exceed your expectations.

@ludiac

Hello there, I’m a hands-on RPA / automation engineer and can take full ownership of shipping production-ready, code-first automations on a weekly cadence. I’ve built Python-based automations across ticketing, CRM, data warehouses, and AI-powered analysis pipelines, with a strong focus on reliability, observability, and clean handover. Week 1 plan: deliver the Unified Ticket + Issue Intelligence workflow by integrating Jira, Zendesk, Zoho, and internal sources, normalizing data into S3/Redshift, and running AI-driven tagging, trend detection, anomaly checks, and write-backs. I’ll also ship 2–3 smaller automations in parallel. Weeks 2–4: iterate weekly to reach 12–15 automations, with demos and written updates. I handle idempotency via deterministic IDs, state tables, and replay-safe consumers; retries via exponential backoff and dead-letter queues; AI guardrails via schema-validated outputs, confidence thresholds, and human-review hooks. Relevant work: https://www.freelancer.com/projects/php/OpenAI-Prompts-for-Telco-Support/reviews https://www.freelancer.com/projects/gpt-agent/Data-Analyst-Required/reviews https://www.freelancer.com/projects/php/Sharepoint-RAG-SQL-GPT-agent/details https://www.freelancer.com/projects/php/SQL-RAG-GPT-Agent-with/details https://www.freelancer.com/projects/python/Python-Data-Analysis-Script-39438040/reviews https://www.freelancer.com/projects/installation/Python-FastAPI-Coach-Help-Apply/details Thanks.

@diektech

Hi, This is Elias from Miami. I checked your post and I understand the contract: 1-month automation sprint (Week 1 paid trial) shipping production-ready, code-first workflows across Google Workspace, Jira, Zendesk, Zoho, Kafka, S3, Redshift, Presto One. Week 1 must deliver the “Unified Ticket + Issue Intelligence” pipeline + 2–3 smaller automations, then reach ~12–15 total by month end with weekly demos and written updates. Q1: What access do we have for Presto One (API/docs) and where should orchestration live (Lambda, ECS, or your existing scheduler)? Q2: Do you already have a preferred AI stack (OpenAI vs internal), and should tagging be fully automated or “suggest + approve” at first? Q3: Any existing Redshift schema/dbt conventions we must follow for Ops/Finance data? Available immediately for the Week 1 trial and can ship end-to-end by the first demo. Regards.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Excel, Software Architecture, Zoho, Salesforce App Development, Zendesk, Amazon S3, Automation, AI Agents, RPA Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@iosifpeterfi

Hi — Iosif here. I build code-first RPA and AI agent systems for Ops, Finance, and Support teams, with a strong focus on auditability, retries, and predictable weekly delivery. My background aligns closely with the types of projects I’ve recently delivered and consulted on. Relevant experience (from recent projects): • Built AI-assisted workflow automations using Python + n8n, integrating ticketing systems, CRMs, and internal tools, with normalized data landing in object storage and analytics databases for reporting and anomaly detection. • Delivered AI-driven Ops dashboards that consolidate Jira/Zendesk-style sources, apply tagging and trend analysis via LLMs, and write results back safely with guardrails and human-review thresholds. • Implemented event-driven pipelines using Kafka-style messaging and warehouse backends (Redshift/Postgres), with strict idempotency, replay support, and clear operational logging—replacing manual spreadsheet workflows. Week-by-week plan (1 month): Week 1 (paid trial): Ship the “Unified Ticket + Issue Intelligence” workflow end-to-end (ingestion, normalization, S3/Redshift, AI tagging, anomaly detection, write-backs) plus 2–3 smaller automations. Weeks 2–4: Deliver additional production-ready automations weekly to reach 12–15 total, improving coverage, reliability, and reporting. Quality & safety: • Deterministic keys, retries, and safe re-runs • AI guardrails (structured outputs, validation, confidence thresholds.

@temoberishvili

Hello, I’ve worked on several automation systems integrating AI-driven workflows across tools like Google Workspace, Kafka, S3, Redshift, and Jira. Your need for code-first, production-ready automations aligns well with my experience building scalable Python-based RPA solutions with robust error handling, retry logic, and data normalization pipelines.

@Solutionzhere

SolutionzHere here, Python-first automation partner with real-world builds across Kafka → S3 → Redshift, Google Workspace, Jira, Zendesk, Zoho and AI-based tagging/anomaly detection. I can ship your Week‑1 “Unified Ticket + Issue Intelligence” (normalized schema, S3/Redshift pipelines, AI taxonomy + trends + anomaly checks with safe write-backs) plus 2–3 smaller automations, then iterate to 12–15 flows over the month. I propose a full-time 1‑month engagement, within your $35–50k range, with weekly demos, idempotent upsert patterns, robust retries, and strict AI guardrails. Quick Q: do you already have a Redshift ticket schema, or should I design one? Let's discuss details over chat and call. Cheers.

@sasaprogramer21

I can lead this 1 month code first automation sprint and ship production ready workflows weekly, starting with the Week 1 paid trial and the Unified Ticket plus Issue Intelligence pipeline. Relevant experience Built Jira and Zendesk unification into S3 and Redshift with weekly AI digests and write back tagging. Built Kafka ingestion pipelines with idempotency, replay, and DLQ handling. Automated Zoho CRM and Google Sheets finance ops with audit logs and exception queues. Week 1 delivery Connect Jira, Zendesk, Zoho, Presto One. Normalize records with stable unique IDs, land raw and curated data in S3. Model curated tables in Redshift. AI layer generates consistent tag taxonomy, detects trends and anomalies, and produces a weekly digest. Write back tags and links into Jira and Zendesk. Plus 2 to 3 smaller automations such as routing, SLA alerts, or finance sheet sync. Weeks 2 to 4 Ship 3 to 4 automations per week to reach 12 to 15 total, with runbooks and demos. Reliability Idempotency keys, upserts, dedupe tables, retries with backoff, DLQ, full audit logs. AI guardrails with structured outputs, confidence thresholds, and safe write back rules. Available 30 to 40 hours per week with daily updates and weekly demos.

@AZTURK1

Hi there, I’ve carefully reviewed your project requirements for building production-ready automations integrating Google Workspace, Kafka, S3, Redshift, Jira, Zendesk, and Zoho with a focus on AI-powered workflows. I’m confident in delivering robust, code-first solutions that scale and ship weekly as requested. - Develop the Week 1 unified ticket + issue intelligence workflow connecting your core platforms and normalizing data into S3 and Redshift. - Implement AI models for taxonomy generation, trend detection, and anomaly identification with write-back capabilities. - Deliver 2–3 additional smaller automations during Week 1, ensuring clear demos and documentation. - For Weeks 2-4, build additional 12-15 total automations, providing weekly updates and demos. - Ensure reliable idempotency, retries, and AI guardrails throughout for safe, auditable operation. **Skills:** ✅ Automation & RPA Development with Python and AI Agents ✅ Integration expertise with Jira, Zendesk, Zoho, Amazon S3, Redshift ✅ Code-first solutions with Zapier for selective routing ✅ Data normalization, taxonomy tagging, and AI anomaly detection ✅ Weekly demo and reporting workflows **Certificates:** ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m ready to start immediately and deliver your Week 1 milestones on schedule. Could you clarify the expected volume of tickets and data size to accurately plan resource scaling and automation efficiency? Best regards,

@TheSecondSource

Hi! We are a team of 62 professionals with 9+ years of experience in RPA, Python automation, and AI-driven workflows for Ops and Finance. Here's how we can help: * Build production-ready, code-first automations connecting Google Workspace, Jira, Zendesk, Zoho, S3, and Redshift, with idempotency and retry logic. * Implement the Week 1 “Unified Ticket + Issue Intelligence” workflow: unify tickets, normalize records, land in S3/Redshift, run AI to tag, detect trends, and write back with weekly digest. * Ship 12–15 automations over the month with weekly demos, written updates, and fully auditable pipelines. * Ensure AI guardrails and monitoring for anomalies, while using Zapier only for basic routing where appropriate. Could you share access to your existing data sources and internal Presto/Hex environment so we can finalize a Week 1 shipping plan?

@alejandroschultz

In Week 1 I’d ship the Unified Ticket + Issue Intelligence workflow with a normalized issue model, S3 snapshots, curated Redshift tables and schema-bound AI tagging plus safe write-backs, alongside 2–3 smaller automations from your backlog. Weeks 2–4 I’d target 3–4 workflows per week, each idempotent (id keys + upserts), with retries, structured logs and runbooks; AI guardrails would rely on constrained JSON schemas, validation and human review for finance-sensitive actions. If this matches what you need, I’d be glad to share 2–3 relevant automations I’ve shipped and lock a concrete weekly delivery plan.

@nxtgenart

Subject: RPA Engineer: Python/AI | Ready for Week 1 Trial Hi, I specialize in code-first Python automation and am ready for your 1-month contract/trial structure. I can ship the "Ticket Intelligence" workflow + 2 quick wins in Week 1, ensuring production-ready code. Relevant Work: Support Intel: Built an LLM pipeline aggregating Jira/Intercom to Snowflake, auto-tagging issues (reduced triage 70%). Finance Ops: Automated Stripe-to-Xero reconciliation via Python/Lambda. Kafka Consumer: Real-time log parsing to PagerDuty/Slack. Week 1 Execution (Ticket Intel): Day 1-2: Ingest Jira/Zendesk/Zoho (need Presto docs), normalize schemas, dump to S3. Day 3: Load to Redshift. Deploy AI Agent for taxonomy/anomaly detection. Day 4: Implement write-backs & digest generation. Day 5: Test, deploy, & ship 2 smaller automations. Weeks 2-4 Plan: Scale to 12-15 bots by targeting Finance (Sheets/Excel) in Wk2 and Ops/Kafka in Wk3. Reliability & AI: Idem-potency: Unique hash keys per record checked against a state DB to prevent dupes. Retries: Exponential backoff for APIs; Dead Letter Queues for Kafka failures. AI Guardrails: Strict Pydantic models (JSON mode) to prevent hallucinations; low confidence scores trigger human review. Available immediately.

@sedawy

Tired of manual spreadsheet drudgery slowing your Voice AI ops and finance teams? Unchecked manual workflows risk errors, delays, and missed insights in high-stakes ticket intelligence. Approach: - Build Week 1 "Unified Ticket + Issue Intelligence" workflow: Integrate Jira/Zendesk/Presto One/Zoho, normalize data to S3/Redshift, apply Python/AI for tag taxonomy, trends, anomalies, write-backs, and digest (code-first with Zapier routing). - Deliver 2-3 smaller automations (e.g., basic triggers for Jira/Zendesk/Zoho) plus weekly demo/update. - Scale to 12-15 production-ready automations over 4 weeks, with idempotency/retries and AI guardrails. About Me: 15+ years in IT infrastructure & security, expert in Python/AI automation, RPA integrations (Kafka/S3/Redshift/Jira/Zendesk), and production hardening; proven ⭐️⭐️⭐️⭐️⭐️ record. Let’s get this done right the first time. Available immediately. ⭐️⭐️⭐️⭐️⭐️ rated in similar jobs, check my profile. P.S. Without idempotency and AI guardrails, automations risk data duplication or hallucinated tags, leading to faulty insights.

@Haroon436

Hi, I propose a code first RPA and automation engagement focused on shipping production ready workflows weekly across Ops Engineering and Finance, with a strong emphasis on reliability, auditability, and clean data pipelines. In Week 1, I will deliver the required Unified Ticket and Issue Intelligence workflow by integrating Jira, Zendesk, Presto One, and Zoho, normalizing records, storing artifacts in S3, curating data in Redshift, and applying AI to generate consistent tagging, identify trends, detect anomalies, and write back tags with a weekly digest. I will also ship 2–3 smaller supporting automations in the same week. If extended into Weeks 2–4, I will continue delivering additional automations weekly to reach the target of 12–15 total, with a clear demo and written update each week outlining what shipped, what’s next, and any risks or blockers. All automations will be built with idempotency, retry handling, logging, and AI guardrails to ensure safe, repeatable execution. I can share relevant past examples, a week by week delivery plan, availability, and rate as requested.