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Tejdeep Gardas

@tejdeepgardas

Data Engineer at Bank of America building Azure pipelines for financial AI and curated transaction datasets.

United States
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At Bank of America, I build and operate Azure data pipelines for financial AI workloads, delivering curated transaction datasets for analytics, fraud analysis, and Power BI reporting. I develop Databricks pipelines and orchestrate workflows with Airflow while protecting sensitive financial data.

At Northern Arizona University, I built an Azure AI lakehouse research pipeline and integrated Mosaic AI with GPT-OSS-20B to classify review sentiment. I also built RAG systems and AI agents for question answering, and at Capgemini Technology Solutions I developed batch and streaming data pipelines with Azure, Spark, and Kafka.

Experience

Work history, roles, and key accomplishments

Bank of America logoBA
Current

Data Engineer

Jan 2026 - Present (10 months)

Build and operate data pipelines in an Azure environment for financial AI workloads, delivering curated transaction datasets for analytics, fraud analysis, and Power BI reporting. Develop Python, SQL, and PySpark pipelines in Databricks and orchestrate Airflow workflows with data-quality checks and reconciliation.

Education

Degrees, certifications, and relevant coursework

Northern Arizona University logoNU

Northern Arizona University

Master of Science, Information Technology

2023 - 2025

Pursued a Master of Science in Information Technology at Northern Arizona University from August 2023 to December 2025.

Osmania University logoOU

Osmania University

Bachelor of Technology, Technology

2019 - 2023

Pursued a Bachelor of Technology degree at Osmania University from 2019 to 2023.

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