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Gautam Kumar jha

@gautamkumarjha1

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Data Engineer at Capgemini building GCP pipelines and Customer 360 analytics across business domains.

India

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What I'm looking for

I’m looking for a Data Engineer role where I can use my skills in Python, SQL, GCP, and data pipeline development while continuing to learn and grow. My preference is a fully remote, work-from-home position, where I can contribute effectively to the team and work on challenging projects.

At Capgemini, I engineer data ingestion and transformation pipelines for Schlumberger’s Customer 360 analytics across Sales, HR, GTD, GTM, Procurement, and Finance. I implemented a Medallion Architecture and metadata-driven workflows to organize processing from source data through curated datasets.

I develop Python-based Apache Airflow DAGs in Cloud Composer and use BigQuery SQL and dbt to transform, reconcile, and aggregate data. I also established automated data quality and schema validation with Great Expectations.

For the Group IT Neo Chatbot project, I implemented cloud-native ingestion workflows for enterprise data from SharePoint, REST APIs, and SFTP/VM sources. I integrated SharePoint through Microsoft Graph API and deployed containerized ingestion applications with Cloud Run Jobs.

Earlier, as an Associate Data Engineer at EPTAIN & COMPANY, I assisted with data pipelines and ETL/ELT processes using Python, SQL, and BigQuery. I hold Google Cloud Professional Data Engineer and Associate Cloud Engineer certifications.

Experience

Work history, roles, and key accomplishments

Current

Senior Analyst – Data Engineer

Current

Capgemini

Apr 2025 - Present (1 year 6 months)

Engineered end-to-end data ingestion and transformation pipelines across multiple domains to support Customer 360 analytics. Implemented Medallion Architecture and metadata-driven data movement frameworks using YAML configurations.

GCP BigQuery GCS Cloud Composer Airflow Python SQL DBT Databricks Apache Spark Cloud Run Terraform GitHub Actions Great Expectations

Analyst – Data Engineer

Capgemini

May 2024 - Mar 2025 (10 months)

Architected cloud-native ingestion workflows for unstructured enterprise data to support a GenAI-powered chatbot. Integrated Microsoft SharePoint with GCP and containerized applications using Docker.

GCP BigQuery Cloud Storage Cloud Run Cloud Run Jobs Python Microsoft Graph API REST APIs Docker Artifact Registry Terraform GitHub Actions

Engineer Trainee

Cognizant

Mar 2024 - May 2024 (2 months)

Supported application development, Python and SQL-based data operations, debugging, testing, and maintenance within an Agile delivery environment.

Python SQL Agile

Associate Data Engineer

Eptain & Company

Jul 2023 - Feb 2024 (7 months)

Assisted in designing and developing data pipelines to ingest, transform, and load data from multiple sources into data warehouses. Performed data extraction, cleansing, and transformation using Python and SQL.