psst... try pressing ` (backtick). or the Konami code. or F12. 👀
about.py
classNamanShetty(DataEngineer):
"""Turning raw data into reliable pipelines since 2022."""def__init__(self):
self.location = "Udupi, Karnataka, India"
self.current = "PwC AC — Associate, Data Engineering"
self.stack = ["AWS", "Glue", "PySpark", "Lambda",
"DynamoDB", "Snowflake", "Python"]
self.fuel = "filter coffee ☕"defmission(self):
return"Ship end-to-end data pipelines that are scalable, " \
"governed, and boring in the best possible way."
experience.log
Associate — Data Engineering @ PwC AC● current
April 2026 — Present
Building serverless ETL pipelines on AWS Glue with PySpark for large-scale data transformation and processing.
Developing event-driven workflows using AWS Lambda with DynamoDB for low-latency data access and state management.
Integrating AWS data workloads with Snowflake for downstream analytics, warehousing, and reporting.
Writing production-grade Python for data validation, orchestration, and automation across the pipeline lifecycle.
AWSGluePySparkLambdaDynamoDBSnowflakePython
Software Engineer @ Hexaware Technologies
June 2022 - April 2026 · Chennai
Designed end-to-end ELT pipelines using DBT on the Snowflake Data Cloud; built Tasks & Stored Procedures to orchestrate complex workloads.
Developed dimensional data marts consolidating data from PeopleSoft, SAP, Salesforce, and Coupa.
Built Git-based CI/CD pipelines in Python automating testing, versioning, and deployment of Snowflake objects and DBT models.