Ankit Thakur

About Ankit Thakur

I am a Data Engineer with 4+ years of experience designing and building large-scale data platforms, real-time pipelines, and distributed processing systems using Spark, PySpark, Kafka, Airflow, and AWS.My work spans across end-to-end data engineering — from ingestion to transformation, storage, governance, and performance optimization. I enjoy solving real-world data problems and building systems that are fast, reliable, resilient, and scalable. What I Do: Design and develop robust ETL workflows for structured and unstructured data. Optimize Spark applications for better performance and scalability. Implement real-time data streaming solutions using Kafka and Airflow. Work with cloud-based data platforms (AWS, Azure, Snowflake) to ensure efficient data storage and retrieval. Focus on data quality, transformation, and governance to maintain data integrity. Tech Stack & Tools: Big Data: PySpark, Kafka, Airflow, Hive, HDFS Databases: Oracle, PostgreSQL, Snowflake, DynamoDB, Elasticsearch,Redshift Cloud: AWS (EMR, Glue, Lambda, Redshift), Azure (ADF, Databricks, Synapse) Programming: Python, SQL CI/CD & Automation: AWS CDK, Pytest Optimization: Spark tuning, query performance tuning Open to opportunities in Big Data, Data Engineering, and Cloud-Based Data Solutions. Let’s connect and discuss how I can help your team!

Experience

1. Associate Staff Engineer

   Nagarro

   Mar 2025 — Present · Gurugram, IN

Education

• University School of Information, Communication & Technology (USICT)

  Master of Computer Applications - MCA, Computer Software Engineering

  2018 — 2021

• Delhi University

  Bachelor of Applied Science (BASc), Computer Science

  2014 — 2017