Hello!

I'm Abhishek Kumar



Senior Data Engineer

With over 3.5+ years of experience


My works

Name: Abhishek Kumar

Job Role: Senior Data Engineer

Experience: 3 Years 8 Months

Address: Bangalore, KA, India

Skills

SQL 09/10
Databricks 09/10
Azure Cloud 09/10
PySpark 8.7/10
Python 08/10
AWS Cloud 6/10

About

About Me

Data Engineer with 3.5+ years of experience in building large-scale data pipelines, ETL processes, and data warehouse solutions.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, & Banking
  • Education: Bachelor of Technology
  • Language: English, Hindi
  • Other Skills: Cloud, PySpark, Post-Gres SQL, Databricks, Synapse Analtics, & Athena
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

Data Engineer with 3.5+ years of experience building large-scale data pipelines, ETL processes, and data warehouse solutions. Skilled in leveraging SQL, PySpark, Databricks, and Azure Cloud to design and implement scalable big data solutions. Gained hands-on experience working with leading Fortune 500 consulting and services companies, including Capgemini and Deloitte.

Experience


Sep 2025 - Present

Senior Data Engineer

Deloitte

Deloitte, is a multinational Big4 information technology (IT) services and consulting company, headquartered in US.

  • Built and optimized ETL pipelines in Azure Data Factory (ADF) to ingest and standardize datasets of more than 100,000+ rows from multiple regions, allowing business teams to track KPIs across geography and time.
  • Designed and engineered data flows using the Medallion Architecture (Bronze–Silver–Gold layers), improving data quality, consistency, and reusability across analytics workloads.

Apr 2022 - Sep 2025

Data Engineer

Capgemini

Capgemini, is a multinational information technology (IT) services and consulting company, headquartered in Paris, France.

  • Delivered a project to migrate on-premise processes to the Azure cloud using Big Data technologies (Spark), achieving a 20% reduction in processing time.
  • Executed Spark optimization techniques (caching, coalesce, broadcast joins), resulting in a 10% decrease in processing time for handling a daily load of around 1 million records.



Education


2017-2021

Bachelor of Technology

Sagar Institute of Research and Technology - Excellence

Grade: First class.

2016-2017

Higher Secondary School

P.L.S College, Masaurhi, Patna (BSEB Board)

Grade: Second class.

Download CV

Projects

Projects

Below are the sample Data Engineering projects on Pyspark, SQL, Python, Azure Services such as ADF, Synapse Analytics, Databricks, etc.

Retail Customer Data Processing using Pandas, PySpark

Demonstrate a strong understanding of data engineering concepts for data cleaning and manipulation tasks.

Customer Transaction Analysis using Post-gre SQL

Analysis focused on Key insights which drawn to support data-driven decision-making for optimizing business strategies.

UnityCatalog Databricks Project

End-to-end Databricks project using Unity Catalog, Delta Tables, and Delta Live Tables.


Databricks Delta Lake Pipeline with Multi-Source Integration

Modern data engineering pipeline using Databricks and Delta Lake with a multi-layered architecture (Bronze, Silver, Gold), integrating multiple data sources.

NycTaxi - Azure Data Engineer Project

End-to-End data pipeline solution on Azure using ADF, Databricks, and ADLS Gen2 to ingest NYC Taxi data via API, transform it across Bronze and Silver layers, and store query-ready Delta tables for analytics

0 Achievements
0 Projects
0 Mentored Students
0 Cups of coffee

More projects on Github

I love to work on cloud and big data technology & solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Bengaluru, India

Contact Number

+91***19***4

Email Address

codecomet.query@gmail.com

Download Resume

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