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Prithvijitsingh Parmar

@prithvijitsinghparma

I build scalable batch and streaming data platforms using Python, PySpark, Azure, AWS, and modern lakehouse architecture.

India

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What I'm looking for

I'm looking to build scalable data platforms and real-time analytics solutions using cloud, batch and streaming technologies, modern data architecture, and AI/ML-driven use cases.

At Hewlett Packard Enterprise, I build scalable, secure batch and streaming data pipelines using Python, PySpark, Azure, and AWS. I deliver real-time analytics, AI/ML-driven solutions, and interactive dashboards that support data-driven decisions and operational efficiency.

I've built enterprise data platforms using Medallion Architecture, Apache Iceberg, Kafka, Debezium, Airflow, dbt, Snowflake, and Databricks. My work includes near-real-time sports analytics pipelines, centralized data warehouses, Hive-to-PostgreSQL data marts, and FastAPI services that expose curated data to downstream teams.

I also bring experience with graph analytics, IoT data pipelines, cloud architecture, Docker, Kubernetes, PostgreSQL, Neo4j, and CI/CD. Earlier, I developed products and production-ready CAD designs while using Python, SQL, Excel, and Power BI for analysis and dashboards.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Hewlett Packard Enterprise

Nov 2022 - Present (3 years 10 months)

Designed and built scalable, secure data pipelines for batch and streaming workflows using Python, PySpark, Azure, and AWS. Implemented Medallion Architecture and orchestrated pipelines with Airflow, dbt, Snowflake, and Kafka, delivering AI/ML-driven solutions and interactive dashboards.