Kunal Pratap Singh Pawar — Data Engineer

Hi, I’m Kunal — a Data Engineer focused on building scalable, cloud-native data platforms and backend systems on AWS. Currently, I work on large-scale data pipelines processing 10–50M+ records daily, where I design and optimize distributed systems using Spark (EMR) and event-driven architectures (S3 → EventBridge → Airflow/MWAA). What I work on: • Building end-to-end data pipelines (ingestion → transformation → delivery) • Designing event-driven workflows for reliable and scalable processing • Developing backend data services using FastAPI, Python, and SQL • Optimizing Spark jobs and SQL queries for performance and cost efficiency • Migrating legacy ETL systems to modern AWS-based distributed architectures Impact: • Improved pipeline performance by ~70% through distributed processing • Reduced infrastructure footprint by optimizing EMR workflows • Enabled large-scale, production-grade data processing for analytics and business use cases Tech Stack: AWS (EMR, S3, Glue, Athena, Lambda, MWAA) | PySpark | Python | SQL | FastAPI | Airflow | CI/CD | Linux I enjoy working on problems involving distributed systems, scalability, and data-intensive applications, and I’m always looking to improve system performance and reliability. Open to opportunities in Data Engineering, Backend Engineering, and Cloud Engineering — feel free to connect!

Stackforce AI infers this person is a Data Engineer specializing in cloud-native data platforms and scalable backend systems.

Location: Pune, Maharashtra, India

Experience: 2 yrs