VT

Vikas Thamke

Data Engineer

India

linkedin.com/in/vikas-thamke
Python & SQL92%
Apache Spark & Kafka85%
Azure (ADF, ADLS, Event Hubs)88%
Snowflake & DBT85%
Databricks82%
Generative AI & LLMs78%

Tech Stack

PostgreSQL
Python
Power BI
Azure
dbt
Spark
About

Passionate about helping you break into data

I'm Vikas Thamke, a Data Engineer with hands-on experience building scalable real-time and batch data pipelines on Azure and AWS, with an M.Tech. from IIT Kanpur (CPI 8.71).

My stack spans Apache Spark, Kafka, Databricks, Snowflake, and DBT — with deep expertise in ETL/ELT design, Medallion Architecture, Star Schema, SCD Type 2, and incremental data processing.

I've navigated the same questions you might be facing right now — which tools to learn, how to build a portfolio that stands out, and how to crack interviews without years of experience. I've packaged everything I know into practical, no-fluff digital resources.

My focus is on what actually gets you hired: real projects, clean pipelines, and the kind of portfolio that makes recruiters stop scrolling.

M.Tech. from IIT Kanpur (CPI 8.71)
Azure, AWS, Databricks & Snowflake
Apache Kafka, Spark & DBT expertise
Medallion Architecture practitioner
End-to-end data pipeline builder
AI & Generative AI integrations
Career Journey

My path into data engineering

Data Engineer

Present

Building production-grade data engineering projects across Azure, AWS, Databricks, and Snowflake — real-time pipelines with Kafka & Spark, Medallion Architecture, and Generative AI integrations.

Data Scientist

2023

Built CNN-LSTM deep learning models for ECG signal classification, improving accuracy by 40%. Delivered production-ready inference pipelines via FastAPI and led a cross-functional team of 5 engineers.

M.Tech. Computer Science

IIT Kanpur

2023

Graduated with CPI 8.71 from one of India's top institutions, building a strong foundation in algorithms, data systems, and machine learning.

B.Tech. Computer Science

Amity University

2021

Developed core programming, data structures, and software engineering fundamentals — sparking an early interest in data and analytics.