Vikrant Nalawade

Data Engineer with 4+ years of experience designing and optimizing scalable batch & real-time data pipelines using Python, SQL, PySpark, Spark Streaming, Hadoop, and Kafka. Hands-on expertise in AWS Glue, EMR, S3, Lambda, Athena, and Airflow orchestration for building reliable, production-grade ETL/ELT workflows. Skilled in data modeling (OLTP, OLAP, SCD Type 2, partitioning, CDC) and designing Data Lakes & Warehouses for high-performance analytics.

Key achievements

• Built pipelines processing 100TB+ weekly with PySpark, Kafka & AWS.
• Developed streaming pipelines for 1M+ daily users across 30+ sources, reducing latency from hours to minutes.
• Optimized legacy ETL workflows, achieving 35% faster runtime and saving ~$10K/quarter.
• Designed reusable ingestion frameworks (APIs, SFTP) reducing onboarding time by 50%.
• Immediate Joiner | Seeking opportunities to design & scale real-time data platforms on AWS & Spark, with an interest in financial/quantitative systems.

Data Engineer with 4+ years of experience designing and optimizing scalable batch & real-time data pipelines using Python, SQL, PySpark, Spark Streaming, Hadoop, and Kafka. Hands-on expertise in AWS Glue, EMR, S3, Lambda, Athena, and Airflow orchestration for building reliable, production-grade ETL/ELT workflows. Skilled in data modeling (OLTP, OLAP, SCD Type 2, partitioning, CDC) and designing Data Lakes & Warehouses for high-performance analytics.

Key achievements

• Built pipelines processing 100TB+ weekly with PySpark, Kafka & AWS.
• Developed streaming pipelines for 1M+ daily users across 30+ sources, reducing latency from hours to minutes.
• Optimized legacy ETL workflows, achieving 35% faster runtime and saving ~$10K/quarter.
• Designed reusable ingestion frameworks (APIs, SFTP) reducing onboarding time by 50%.
• Immediate Joiner | Seeking opportunities to design & scale real-time data platforms on AWS & Spark, with an interest in financial/quantitative systems.

Bachelor of Technology (IT)