Abhay Chaudhary

I’m a data professional focused on building reliable, scalable ETL pipelines and automated data workflows. I combine strong analytics fundamentals with cloud-native engineering to turn complex data challenges into dependable systems.

In my recent role as a Data Science and Cloud Computing Trainee, I engineered 3+ production ETL pipelines processing 500K+ daily records using Python, SQL, and Apache Airflow. I also optimized database queries, improving execution time by 40%, while deploying serverless AWS Lambda applications handling 10,000+ monthly requests.

I’m hands-on with AWS infrastructure and operations, configuring services like S3, Lambda, CloudWatch, EC2, and Glue to support production workloads with 99.9% uptime. I implemented monitoring and logging with CloudWatch, improving debugging efficiency by 50% and making workflows easier to maintain.

I also build dashboards that drive decisions—analyzing 45,000+ delivery records and creating interactive Power BI dashboards with KPI cards and trend visualizations. I enjoy continuously learning across data engineering, analytics, and platform engineering, and I bring that same curiosity to every pipeline, model, and workflow I ship.