Open to opportunities

Hrishik V

@hrishikv

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Hi, I’m Hrishik Choudry — a Data Engineer, currently working at ANZ.

India

Message

What I'm looking for

I’m looking for a role where I can build Python/PySpark data platforms on AWS, optimize distributed pipeline performance, and partner with quantitative teams on reliable, production-grade infrastructure and data quality.

I’m a Data Engineer with a strong foundation in Python, SQL, and Apache Airflow, currently working at ANZ. I specialize in designing robust data pipelines, optimizing ETL workflows, and enabling actionable insights through data-driven reporting. With prior experience as a data science intern and a background in AI and data science, I’m passionate about solving complex problems, automating workflows, and contributing to impactful tech solutions. When I’m not engineering data, you’ll find me tinkering with smart my PC or exploring new places on two wheels.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

ANZ Banking Group

Aug 2024 - Present (1 year 10 months)

Architected Python-based PySpark pipelines on AWS EMR for multi-billion row financial datasets, reducing latency by 25% through execution tuning. Led migration of 50+ TB from Teradata to AWS S3 + Starburst lakehouse and built Python validation frameworks achieving 99.99% data fidelity.

Python Pyspark AWS Glue Apache Airflow Starburst SQL Data Validation

Current

Data Wngineer

Current

ANZ

Mar 2023 - Present (3 years 3 months)

As a Data Engineer at ANZ, I design and optimize data pipelines for financial datasets, enabling real-time insights and improving data-driven decision-making. I’ve led large-scale data migrations, enhanced ETL workflows using Python, SQL, and Airflow, and delivered churn analytics solutions that support customer retention strategies.

Communication Skills Project Management Python SQL Airflow DBT Agile

Associate Data Engineer

ANZ Banking Group

Mar 2023 - Jul 2024 (1 year 4 months)

Built mission-critical Python/PySpark ETL pipelines on AWS for terabyte-scale financial datasets while ensuring regulatory compliance. Drove dbt adoption with modular SQL models (95% test coverage), implemented automated data validation frameworks, and reduced data discrepancies by 35%.

Python Pyspark AWS ETL SQL (Dbt Models)DBT Data Validation Distributed Systems Performance Optimization

Education

Degrees, certifications, and relevant coursework

BMS Institute of Technology and Management

Bachelor of Engineering, Artificial Intelligence & Machine Learning

2019 - 2023

Completed a B.E. in Artificial Intelligence & Machine Learning, covering coursework in Distributed Systems, Big Data Analytics, Statistical ML, Python for Data Science, and Cloud Computing.

BMSIT

Bachelor of Engineering, AI ML

2019 - 2023

Grade: 6.89

Developed a solid foundation in artificial intelligence, data structures, and machine learning, with hands-on experience in building predictive models and AI-driven solutions.

RV University

Master of Technology, Data Science

2023 -

Currently building expertise in big data analytics, distributed systems, and advanced machine learning, with a strong focus on real-world data engineering applications.