Krishnan Subramanian
@krishnansubramanian1
Data Engineer at Deloitte building Databricks pipelines and improving SQL query performance by 30%.
IndiaWhat I'm looking for
At Deloitte Touche Tohmatsu India LLP, I designed data models for Case and Account transaction reporting and implemented Databricks Notebooks to validate and ingest files into ADLS.
I optimized Databricks SQL queries on ADLS Delta Tables, improving performance by 30% through partition pruning and bucketing. I also deployed pipeline changes through GitHub CI/CD workflows.
Previously, at Cognizant Technology Solutions, I developed PySpark transformation pipelines on BigQuery for customer behavior analysis, reducing execution time by 40% across 40–50 GB of daily ingestion. I also built authorized views for row-level security and data access across teams.
Experience
Work history, roles, and key accomplishments
Designed data models for Case and Account transactions reporting and implemented DataBricks Notebooks for automated file validation and ingestion into ADLS. Optimized Databricks SQL query performance by 30% through partition pruning and bucketing strategies.
Collaborated with business analysts to gather requirements for customer segmentation and purchasing behavior analysis. Engineered PySpark transformation pipelines on BigQuery, reducing execution time by 40% across 40-50 GB daily ingestion.
Education
Degrees, certifications, and relevant coursework
Sri Manakula Vinayagar Engineering College
Bachelor of Technology, Electronics and Communication Engineering
2017 - 2021
Grade: 7/10
Pursued a Bachelor of Technology in Electronics and Communication Engineering, achieving a CGPA of 7/10.
Microsoft
Microsoft Azure Fundamentals (AZ-900), Cloud Fundamentals
Earned the Microsoft Azure Fundamentals certification (AZ-900).
Python Programming
Python Programming, Programming
Completed a Python programming course.
The Complete Oracle SQL Certification Course
The Complete Oracle SQL Certification Course, Database
Completed a comprehensive Oracle SQL certification course.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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