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prem teja

@premteja

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I build reliable cloud data pipelines for large-scale analytics and healthcare datasets.

United States

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What I'm looking for

I'm looking to build and operate scalable cloud data infrastructure, automation, and distributed pipelines where I can improve reliability, performance, data quality, and secure handling of large datasets.

At HighViz IT Solutions, I build scalable ETL pipelines and automated workflows with Python, PySpark, and Airflow, reducing manual effort by 60% for large-scale healthcare data delivery. I develop AWS data lakes and real-time synchronization workflows across S3, Snowflake, and Redshift.

Previously, I automated healthcare data validation at VEN Solutions and supported Kafka and Spark Streaming pipelines for financial transaction and fraud-detection data at Accenture. I bring hands-on experience in distributed processing, cloud migration, data quality, monitoring, and HIPAA-aware governance.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

HighViz IT Solutions Inc

Jul 2024 - Present (2 years 2 months)

Engineered scalable ETL pipelines and data automation workflows using Python, PySpark, and Airflow, reducing manual effort by 60%. Built production data lakes on AWS S3 and Snowflake/Redshift with optimized formats and implemented HIPAA-aware data governance.

Python PySpark Airflow S3 Snowflake Redshift Apache Spark SQL AWS Glue Data Governance HIPAA

Data Engineer (Contract)

VEN Solutions LLC

Jan 2024 - Jun 2024 (5 months)

Automated data-preparation and validation workflows using Python (Pandas, SQLAlchemy) with robust error handling, improving data quality and reducing manual effort by over 50%. Developed scalable AWS data infrastructure using S3, Glue, and Redshift for parallel transformation and loading of large healthcare datasets.

Python Pandas SQLAlchemy S3 AWS Glue Redshift SQL REST APIs OAuth JSON XML

Associate Data Engineer (Internship)

Accenture

Jun 2022 - Jun 2023 (1 year)

Supported real-time event-streaming data pipelines using Apache Kafka and Spark Streaming for financial transaction and fraud-detection data. Assisted with cloud migration of Hadoop workloads to AWS EMR and created operational dashboards using Kibana.