Hussain H.

I build production data pipelines in Python that pull messy data from many sources, clean and merge it, and serve it reliably through APIs on AWS. Since 2023 I have been a data engineer behind an aviation analytics platform used for airport operations (Zurich, Basel, Hamburg and other airports). Work I designed, built and run in production: - Multi-source ingestion: flight data from FlightAware, Flightradar24, RadarBox and RapidAPI, reconciled into one unified arrivals/departures schedule per airport - Weather and NOTAM pipeline: Open-Meteo, METAR and NOTAM/SNOWTAM ingestion with runway-condition classification - Storage: per-airport DynamoDB tables with automatic discovery, so a new airport goes live without code changes - Serverless REST API: API Gateway + Lambda (AWS SAM) with pagination, time-zone-aware filtering and OpenAPI/Swagger docs - CI/CD: GitHub Actions deploying separate dev and prod stacks; scheduled production jobs on AWS ECS - GPS telemetry pipeline: live ground-vehicle positions matched to aircraft at parking stands (Docker, boto3, PostgreSQL) - Data-quality audits: comparing data providers on coverage and latency, with HTML reports for management - Engineering hygiene: pytest test suites, Ruff linting and pre-commit hooks Tech stack: Python, Pandas, REST APIs, AWS (DynamoDB, Lambda, ECS, S3, API Gateway, CloudWatch), PostgreSQL, Docker, GitHub Actions, Linux I can help you with: - ETL / ELT pipelines and scheduled data jobs - Integrating third-party APIs and merging multiple data sources - Backend APIs that serve your data (FastAPI, Lambda) - Moving scripts and spreadsheets into reliable, tested, cloud-deployed pipelines - Fixing slow, flaky or broken existing pipelines I also have a machine learning and embedded systems background, which helps when your data comes from devices or feeds a model. Message me with what your data looks like and where it needs to go. I reply quickly and keep you updated at every step.