I am an experienced AWS Data Engineer with strong expertise in building scalable, secure, and high-performance data solutions on the AWS cloud. I specialize in designing end-to-end ETL/ELT pipelines, data lakes, and analytics platforms that help businesses make data-driven decisions.
I have hands-on experience with AWS Glue, S3, Athena, Redshift, Lambda, and Spark (PySpark), along with strong SQL skills for data modeling and performance optimization. I focus on clean architecture, cost efficiency, and reliable delivery.
I believe in clear communication, on-time execution, and delivering production-ready solutions that scale with business growth.

Work Terms

I am available for 30–40 hours per week and work in the IST timezone with flexible overlap for US and European clients. I am open to both hourly and fixed-price engagements, depending on project scope and complexity. Hourly work is managed through Guru SafePay, while fixed-price projects are delivered using clearly defined milestones. I prefer clear and transparent communication via Guru messages, email, or video calls (Zoom/Google Meet) when required. My work approach focuses on understanding requirements thoroughly, providing regular progress updates, and delivering clean, well-documented, production-ready solutions. Reasonable revisions are included, and post-delivery support is available. I value long-term collaborations and aim to build reliable, professional relationships based on trust and timely delivery.