Breaking Games Externship via ExternI am a data engineer specializing in building robust data pipelines and optimizing data workflows to drive insights and support data-driven decision-making.
My portfolio will show coursework, lab exercises, and early projects that demonstrate foundational ECE skills and hands-on learning.
Breaking Games · ✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Designed a medallion architecture on Databricks and Delta Lake with 25+ incremental dbt models, using AWS S3 as the storage layer. Orchestrated the pipeline with Apache Airflow DAGs, added automated data quality tests, and documented data lineage end to end.
I am a data engineer specializing in building robust data pipelines and optimizing data workflows to drive insights and support data-driven decision-making.
I am Ch. Sai Kishore, an 18 ECE 1014 A- SEC student with limited work experience, preparing to start my career in electrical and electronics engineering.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Data Engineer
Novel Technologies · October 2026 – Present
Data Engineer
Aptech Staffing · April 2026 – October 2026
Data Engineer
Capgemini · May 2022 – Aug 2023
Education
Lewis University
M.S. in Data Science
Dr. MGR University
B.E. in Electronics & Communication Engineering
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The project consolidated six messy CSV files into a single analytics schema and produced a Q4 dashboard. The work mapped source tables, cleaned and normalized records, and defined tables and keys for reporting. The final deliverables included a populated analytics database and dashboard-ready datasets.
I transformed six disparate CSV sources into a cleaned, joined analytics dataset and prepared data products for a Q4 reporting dashboard.
Designed a medallion architecture on Databricks and Delta Lake with 25+ incremental dbt models, using AWS S3 as the storage layer. Orchestrated the pipeline with Apache Airflow DAGs, added automated data quality tests, and documented data lineage end to end.
Processed streaming events with PySpark Structured Streaming on Databricks, using Event Hub, Kafka and Azure Data Factory. Designed star schema data models with Slowly Changing Dimension (SCD) logic for the streaming data.
