Summary
Ramchander Chikkala is a lead data scientist engineer based in Boston with roughly a decade of experience building cloud-native, production-grade data platforms that span ingestion, warehousing, real-time streaming and ML deployment. He combines deep Snowflake and Databricks expertise with PySpark, Python and Terraform to deliver scalable ETL/ELT pipelines, ML-ready lakes, and AI-infused applications across finance, healthcare and tech. Comfortable across Azure and AWS, he has hands-on experience with Kafka, Airflow, ADF, Great Expectations and GitLab CI/CD to ensure data quality, governance and secure operations. Ramchander uniquely bridges research and delivery—holding research experience at IIIT-H while also driving enterprise implementations at firms like State Street and DATAECONOMY. He’s certified in Databricks Lakehouse and Azure Data & AI and often embeds ML tooling (scikit-learn, PyTorch, TensorFlow, LangChain) into robust deployment workflows. Pragmatic and full-stack in approach, he excels at turning messy, governed data into actionable intelligence that scales.
8 years of coding experience
6 years of employment as a software developer
Master of Technology (M.Tech.), Computer Software Engineering, 7.39, Master of Technology (M.Tech.), Computer Software Engineering, 7.39 at Andhra University
PGP in Big Data Analytics and Optimisation, Data Science, PGP in Big Data Analytics and Optimisation, Data Science at International School of Engineering (INSOFE)
Research Intern, Software Engineering Research Center, Research Intern, Software Engineering Research Center at International Institute of Information Technology Hyderabad (IIITH)
Telugu, Hindi, English