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Hritik chaudhary

@hritikchaudhary

Message

I build scalable GCP data platforms and reliable ETL pipelines for enterprise analytics.

India

Message

What I'm looking for

I'm looking to build scalable, reliable data platforms and analytics workflows where I can improve data quality, performance, governance, and real-time decision-making.

At Deloitte USI, I build scalable ETL workflows on GCP for safety and recall analytics, loading curated BigQuery datasets that have supported millions of dollars in operational and recall cost savings. I also design star-schema data models for Power BI dashboards, cutting query latency by 50% across 50+ metrics.

I use Airflow, dbt, BigQuery, and Tekton to deliver governed, observable pipelines with validation, lineage, audit logging, real-time failure alerts, and CI/CD automation. Previously at Ericsson, I built real-time data processing workflows and reinforcement-learning models to optimize 5G beam selection.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Deloitte USI

Oct 2023 - Present (2 years 11 months)

Designed and implemented scalable ETL workflows using medallion architecture, loading curated datasets into BigQuery for safety and recall analytics. Engineered high-performance data models for Power BI dashboards, reducing query latency by 50%.

Python SQL Airflow DBT BigQuery Data Modeling ETL Power BI Git Docker Kubernetes Tekton Terraform Pub Sub

Research Intern

Ericsson

May 2022 - Jul 2022 (2 months)

Engineered a real-time data processing workflow for 5G NLOS simulation and developed reinforcement learning models to optimize beam selection for User Equipment. Evaluated model performance using convergence, stability, and sample-efficiency metrics.

Python Reinforcement Learning Data Processing Simulation Model Evaluation