Gaurav Singh
New Delhi
Summary
Aspiring Data Engineer with strong foundations in big data technologies, cloud platforms, and data warehousing. Hands-on experience in building scalable data pipelines using Apache Spark, Hadoop, and Databricks. Skilled in SQL and Python with knowledge of ETL/ELT processes, data governance, and cloud-based architectures on Azure. Passionate about designing efficient, secure, and cost-effective data solutions to support analytics and business decision-making.
Overview
4
4
years of professional experience
Work History
Data Engineer
SITA
New Delhi
08.2022 - Current
Relevant Work Exp ( 2025- Present )
Cloud-Based Data Pipeline using Databricks & Spark
- Designed and implemented scalable data pipelines using Databricks and Apache Spark.
- Built reusable data ingestion patterns for structured and semi-structured data.
- Processed large datasets using Spark DataFrames and Spark SQL.
- Optimized performance through partitioning, caching, and query tuning.
Enterprise Data Warehouse Design
- Designed dimensional data models using Star and Snowflake schemas.
- Created fact and dimension tables for analytical workloads.
- Implemented ETL workflows using SQL and Apache Hive.
- Ensured data consistency and quality through validation checks.
Big Data Processing with Hadoop Ecosystem
- Managed distributed storage using HDFS.
- Queried and transformed data using Apache Hive.
- Built batch processing workflows for large-scale datasets.
Data Governance & Metadata Management (Databricks Unity Catalog)
- Applied data governance principles using Unity Catalog.
- Managed metadata and ensured compliance with data standards.
- Improved data discoverability and documentation.
Education
B. Tech - Electronics And Communication Engineering
AMITY SCHOOL OF ENGINEERING AND TECHNOLOGY
New Delhi06-2018
Skills
Programming Language:
Python (OOP Concepts), SQL, Advanced SQL, Linux (Basics)
Big Data & Processing:
Apache Spark (RDDs, Data Frames, Spark SQL, Optimization, Internals), Hadoop, HDFS, Apache Hive
Data Engineering:
ETL/ELT Pipelines, Data Ingestion Patterns, Data Modelling, Data Governance, Metadata Management
Cloud & Platforms:
Databricks, Unity Catalog, Azure Fundamentals
Data Warehousing & System Design :
OLTP, OLAP, Data Lake, Data Warehouse, Fact & Dimension Tables, Star Schema, Snowflake Schema, MicroService Architecture, SQL query optimization
Timeline
Data Engineer
SITA
08.2022 - Current
B. Tech - Electronics And Communication Engineering
AMITY SCHOOL OF ENGINEERING AND TECHNOLOGY