lalit sonawane

Python, SQL, Spark, Airflow, Snowflake, AWS/GCP, DBT, Kafka. Specialized in building scalable data pipelines and modern data platforms.

Exploring advanced data architecture patterns, real-time streaming, and optimizing distributed systems. Deepening expertise in cloud-native data engineering.

Designing scalable ETL pipelines, implementing real-time data workflows, and improving data reliability, performance, and cost efficiency.

Open to discussions on data platforms, ETL optimization, cloud migrations, and scalable analytics architecture. Happy to collaborate on impactful data projects.