L Chakka
Professional Summary
Software Engineer with 3+ years of experience building Python backend systems and AWS serverless architectures. Skilled in designing production-grade microservices, event-driven ingestion pipelines, and orchestration workflows for enterprise insurance and data-driven products. Hands-on with AWS Lambda, API Gateway, S3, SQS, DynamoDB, Step Functions, FastAPI and Pydantic; strong practice in BDD/pytest, LLD documentation, CI/CD, and peer code review to deliver reliable, testable services.
Technical Skills
Work Experience
- Designed and implemented AWS Lambda microservices to process partner file uploads (Invoice, Rates, Landmarks, Subpartners) including base64 decoding, Pydantic data-contract validation, and secure S3 persistence for downstream processing.
- Built event-driven fleet file monitoring using EventBridge Scheduler and partner API integrations to detect missing daily files, publishing events to SQS and SNS to trigger automated notification flows.
- Developed partner onboarding orchestration using Step Functions and EventBridge to coordinate multi-step business processes across Lambda microservices, reducing manual handoffs and simplifying error handling.
- Authored comprehensive BDD and pytest suites covering end-to-end Lambda flows, SQS message processing, and DynamoDB persistence, achieving high coverage and enabling safer iterative releases.
- Produced clear Low Level Design documentation and maintained OpenAPI/Swagger specs aligned with Pydantic models, accelerating developer onboarding and ensuring API-consumer alignment.
- Led peer code reviews and used AWS Lambda Powertools for structured logging and CloudWatch monitoring to improve observability, shorten incident triage, and maintain sprint delivery commitments.
- Implemented Python-based ETL pipelines and validation checks using Pandas to improve data availability and enable a 20% increase in data-driven business decisions.
- Analysed complex datasets and delivered actionable insights to senior management, identifying operational improvements that supported product and stakeholder decisions.
- Collaborated with Analytics Engineers to define and enforce data quality rules, reducing data discrepancies by 25% through automated validations and reconciliation jobs.
- Built and maintained RESTful API integrations in Python to enable reliable data exchange between internal systems and third-party services.
- Promoted data engineering best practices across teams by standardising workflows, reusable functions, and documentation to improve handoffs and reduce onboarding time.
- Wrote unit and integration tests for pipeline components and supported deployment workflows to staging, improving release reliability and reducing regressions.
- Developed and deployed Python automation scripts to streamline business process workflows, contributing to an estimated 20% improvement in operational efficiency for delivery processes.
- Executed comprehensive test automation using PyTest to validate configured system actions, catching defects early and reducing system downtime through improved release quality.
- Collaborated with cross-functional teams on requirement analysis, system design and implementation to deliver reliable automation solutions aligned with business needs.
- Contributed to process improvements and deployment practices that supported a 25% improvement in measured customer experience through more reliable releases.
- Supported CI/CD and release activities, coordinating build, test and deployment tasks to ensure smooth rollouts and rollback readiness.
- Participated in peer reviews, documentation of technical decisions, and maintenance of runbooks to improve team knowledge sharing and operational response.
Education
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