Abhishek Garg, Developer in Gurugram, Haryana, India
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Abhishek Garg

Bio

Abhishek combines deep hands-on engineering expertise with leadership and stakeholder management experience. Over the last decade, he has designed and delivered data platforms across finance, travel, supply chain, and technology organizations. His experience spans the full lifecycle—from requirements gathering and data modeling to cloud architecture, implementation, and operational support. Abhishek delivers reliable, scalable, and business-driven data solutions that create measurable impact.

Portfolio

BP
AWS HA, Redshift, PySpark, SQL, Cloud, Dimensional Modeling...
Canva
Snowflake, Data Build Tool (dbt), SQL, Python, Data Validation, Data Marts...
Meta
SQL, Python, Data Validation, Data Marts, Analytics, Data Governance...

Experience

  • ETL - 12 years
  • SQL - 12 years
  • Python - 12 years
  • Data Warehousing - 12 years
  • Data Engineering - 12 years
  • Data Modeling - 12 years
  • Redshift - 10 years
  • Snowflake - 5 years

Preferred Environment

AWS HA, SQL, Python, Snowflake

The most amazing...

...thing I've done is remodeling risk domain datasets for Meta Enterprise and reducing data questions by 50%.

Work Experience

Lead Data Engineer

2024 - PRESENT
BP
  • Acted as the subject-matter expert for Procurement Control Tower technology, delivering use cases projected to save USD 6 million over the next 5 years.
  • Served as the tech lead, managing a team of 8 engineers to build data warehouse solutions.
  • Helped hire engineers and screened 30 candidates for data management and data engineering roles.
Technologies: AWS HA, Redshift, PySpark, SQL, Cloud, Dimensional Modeling, Data Transformation, Database Schema Design, Data Validation, Data Marts, Analytics, Data Governance, Amazon Web Services (AWS), Apache Spark

Senior Analytics Engineer

2023 - 2023
Canva
  • Engaged as the analytics engineer and remodeled subscription datasets for self-service by data scientists.
  • Created a single source of truth for sales vendor data, reducing anomalies.
  • Mentored junior engineers as part of engineering excellence.
Technologies: Snowflake, Data Build Tool (dbt), SQL, Python, Data Validation, Data Marts, Analytics, Data Governance, Amazon Web Services (AWS), Apache Spark

Data Engineer

2022 - 2022
Meta
  • Collaborated with stakeholders on 3rd-party vendor sourcing and assessment processes.
  • Documented key metrics and built foundational datasets in PrestoDB.
  • Remodeled risk domain datasets for self-service, reducing data questions by 50%.
Technologies: SQL, Python, Data Validation, Data Marts, Analytics, Data Governance, Amazon Web Services (AWS), Apache Spark

Senior Data Engineer

2018 - 2021
Expedia
  • Developed data consumers (AWS Lambda) from streaming data pipelines (Kinesis).
  • Built business intelligence dashboards on Sisense, for example, carbon emissions and savings.
  • Involved in the design, delivery, and planning of work items.
Technologies: Snowflake, Redshift, Python, SQL, Data Validation, Data Marts, Analytics, Data Governance, Amazon Web Services (AWS), Apache Spark

Senior Analyst Programmer

2013 - 2018
Fidelity International
  • Developed solutions to onboard datasets to ODS and warehouse using Informatica ETL and PL/SQL.
  • Built ETL pipelines in Hadoop using Hive and Impala.
  • Developed a Unix framework for data fetching using Sqoop.
Technologies: Hadoop, Oracle, Python, SQL, Data Validation, Data Marts, Analytics, Data Governance, Amazon Web Services (AWS), Apache Spark

Experience

Procurement Control Tower

Procurement Outlook is a supply chain analytics solution designed to forecast future purchase prices of raw materials used in lubricant manufacturing. The platform combines external commodity market intelligence from providers such as ICIS and Argus with internally defined business rules to generate forward-looking price projections for procurement teams.

The primary objective was to provide procurement managers with data-driven insights into expected price movements, enabling them to negotiate better vendor contracts, optimize purchasing decisions, and reduce procurement costs.

Education

2009 - 2013

Bachelor's Degree in Computer Science

Deenbandhu Choturam University of Science and Technology - India

Skills

Libraries/APIs

PySpark

Tools

AWS Glue

Languages

SQL, Python, Snowflake

Paradigms

ETL, Business Intelligence (BI), Dimensional Modeling

Storage

Data Validation, Redshift

Frameworks

AWS HA, Apache Spark, Hadoop

Platforms

Databricks, Amazon Web Services (AWS), MacOS, Oracle

Other

Data Modeling, Data Warehousing, Data Engineering, Data Transformation, Database Schema Design, Data Marts, Analytics, Data Governance, Data Build Tool (dbt), Cloud, Software Development

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