Gourav Chawla

gouravchawla334@gmail.com | linkedin.com/in/gourav-chawla | github.com/gouravchawla334
Overview

Results-driven Data Engineer with 3+ years of experience building scalable data pipelines and cloud-native architectures across Retail and Banking domains. Proficient in GCP, Azure, Apache Spark, dbt, and Airflow, with a proven track record of processing 30+ GB of data daily and delivering measurable cost and performance improvements. Adept at leading cross-functional teams, driving CI/CD adoption, and mentoring junior engineers. Also an active mentor on Topmate, guiding aspiring professionals in career growth and Data Engineering.

Experience
Accenture Mar 2025 – Present
Data Engineer (Analyst) — Gurugram, India
  • Architected end-to-end data products in the Retail domain following Medallion Architecture (Bronze, Silver, Gold) using dbt and BigQuery, improving data reliability by 30%.
  • Engineered a metadata-driven ingestion framework using Airflow DAGs and Dataproc to process 30+ GB daily from 6+ disparate sources, reducing manual ETL effort by 40%.
  • Designed a secure RESTful API framework for automated JSON data extraction, accelerating onboarding of new external data vendors by 25%.
  • Spearheaded team deployments via GitHub + Docker CI/CD pipelines with automated quality gates, reducing production incidents by 25%.
  • Led and mentored a cross-functional group of 5–6 junior engineers across 2–3 teams; conducted Knowledge Transfer sessions on Antigravity to automate technical documentation.
Tata Consultancy Services Pvt. Ltd. Aug 2022 – Mar 2025
System Engineer — Gurugram, India
  • Optimized large-scale database performance in the Banking domain, writing complex SQL queries and executing index maintenance, achieving a 15% reduction in system downtime.
  • Led high-integrity cloud data migration using GCP, PySpark, and SparkSQL, improving system performance by 20% and ensuring seamless data consistency for financial reporting.
  • Fine-tuned BigQuery execution plans, reducing cloud compute costs by 20% and accelerating report generation for senior stakeholders by 25%.
  • Utilized Terraform to automate provisioning of data warehousing environments including datasets, storage buckets, and virtual machines.
Education
State Institute of Engineering and Technology, Nilokheri 2018 – 2022
B.Tech in Computer Science — 81.23%
Pratap Public School, Taraori, Karnal 2016 – 2018
Senior Secondary — CBSE — 80.4%
Certifications
Certification Issuer Credential
Google Certified Professional Data Engineer Google Cloud View
Microsoft Azure Fundamentals (AZ-900) Microsoft View
Claude Certified Architect – Foundations Anthropic View
Associate Data Practitioner Google Cloud View
Hadoop Foundation Level 1 IBM View
Spark Foundations Level 1 IBM View
Python for Data Science IBM View
Projects
Flipkart Insight Engine [GitHub]
Apache Spark · PySpark · Databricks · NLP · Python — May 2024
  • Built a comprehensive analysis tool using PySpark on Databricks to extract insights from large-scale e-commerce product data.
  • Implemented weighted ratings, effective pricing logic, and NLP-based sentiment analysis on customer reviews.
  • Performed correlation and time-series analysis to identify market trends and support data-driven business decisions.
Awards & Recognition
Technical Skills
Languages: Python, Advanced SQL, C++, Java, Shell Scripting
Cloud & Big Data: Google Cloud (GCP), Microsoft Azure, AWS, Apache Spark, PySpark, BigQuery, Dataproc, Airflow, Hadoop
Tools & Frameworks: dbt, Terraform, Docker, CI/CD, Jenkins, Git, GitHub, RESTful APIs, Hive, Sqoop, Databricks
Databases: MySQL, MongoDB, Data Modeling, Data Warehousing, ETL Frameworks
Web Technologies: HTML5, CSS3, JavaScript, Bootstrap, jQuery, PHP, WordPress, Figma
Profile Links
LinkedIn  |  GitHub  |  HackerRank  |  Dev.to  |  Topmate (Mentoring)