Girish Chanda

About Girish Chanda

Senior Data Engineer with over 12 years of experience designing, building, and optimizing large-scale data platforms and data engineering solutions across enterprise environments. I specialize in developing production-grade, end-to-end data pipelines supporting batch and real-time processing for high-volume, high-velocity data. My core expertise is rooted in the Big Data ecosystem, including Spark, Kafka, Hive, HDFS, Impala, HBase, MapReduce, and Hadoop, where I build scalable distributed data processing systems using Python, Scala, and Java. I have strong hands-on experience with both relational databases such as PostgreSQL, MySQL, Oracle, and MSSQL, and NoSQL platforms including MongoDB, DynamoDB, and HBase, enabling reliable data ingestion, transformation, and analytics at scale.I bring extensive cloud experience across AWS and GCP, designing modern data lakes, lakehouse architectures, and cloud data warehouses using Snowflake, Redshift, BigQuery, S3, GCS, EMR, Glue, Athena, Dataproc, Dataflow, Data Fusion, Cloud Functions, and Cloud SQL. I have built and orchestrated robust ETL and ELT pipelines using Airflow, Kinesis, and Kafka, with a strong focus on performance tuning, cost optimization, and reliability. My background also includes DevOps and DataOps practices using Docker, Jenkins, Kubernetes, Git (GitHub, GitLab, Bitbucket), and Maven, along with monitoring and alerting through CloudWatch. I collaborate closely with stakeholders, mentor engineers, and ensure data platforms deliver scalable, secure, and business-ready analytics.

Experience

1. Senior Data Engineer

   Morgan Stanley

   Sep 2023 — Present · Boston, MA, US

Education

• INSTITUTE OF AERONAUTICAL ENGINEERING

  Bachelor of Technology - BTech, Computer Science