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Data Engineer with 5+ years of experience building scalable data pipelines and cloud-based solutions across financial services and healthcare. Proficient in Azure data services, ETL development, PySpark, SQL optimization, and data warehousing to improve reliability, performance, and reporting accuracy. Skilled in designing cloud-native architectures using Azure Data Lake, Databricks, Delta Lake, and Azure Synapse while ensuring secure and compliant data handling. Experienced in building batch and real-time processing workflows, automating pipelines, and enabling data-driven decision-making for business stakeholders.…Data Engineer with 5+ years of experience building scalable data pipelines and cloud-based solutions across financial services and healthcare. Proficient in Azure data services, ETL development, PySpark, SQL optimization, and data warehousing to improve reliability, performance, and reporting accuracy. Skilled in designing cloud-native architectures using Azure Data Lake, Databricks, Delta Lake, and Azure Synapse while ensuring secure and compliant data handling. Experienced in building batch and real-time processing workflows, automating pipelines, and enabling data-driven decision-making for business stakeholders.

Prameela Patapantula

Data Engineer, Software Engineer, Developer, +1

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Data Engineer with 5+ years of experience building scalable data pipelines and cloud-based solutions across financial services and healthcare. Proficient in Azure data services, ETL development, PySpark, SQL optimization, and data warehousing to improve reliability, performance, and reporting accuracy. Skilled in designing cloud-native architectures using Azure Data Lake, Databricks, Delta Lake, and Azure Synapse while ensuring secure and compliant data handling. Experienced in building batch and real-time processing workflows, automating pipelines, and enabling data-driven decision-making for business stakeholders.…Data Engineer with 5+ years of experience building scalable data pipelines and cloud-based solutions across financial services and healthcare. Proficient in Azure data services, ETL development, PySpark, SQL optimization, and data warehousing to improve reliability, performance, and reporting accuracy. Skilled in designing cloud-native architectures using Azure Data Lake, Databricks, Delta Lake, and Azure Synapse while ensuring secure and compliant data handling. Experienced in building batch and real-time processing workflows, automating pipelines, and enabling data-driven decision-making for business stakeholders.

Available to hire

Data Engineer with 5+ years of experience building scalable data pipelines and cloud-based solutions across financial services and healthcare. Proficient in Azure data services, ETL development, PySpark, SQL optimization, and data warehousing to improve reliability, performance, and reporting accuracy.

Skilled in designing cloud-native architectures using Azure Data Lake, Databricks, Delta Lake, and Azure Synapse while ensuring secure and compliant data handling. Experienced in building batch and real-time processing workflows, automating pipelines, and enabling data-driven decision-making for business stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Data Engineer at Capital One

January 1, 2025 - Present

Engineered scalable data pipelines using Azure Data Factory, PySpark, and SQL to process large financial datasets and improve data ingestion performance by 40% for enterprise analytics. Designed cloud-native solutions with Azure Data Lake, Databricks, and Delta Lake to store, transform, and analyze structured and unstructured financial data. Implemented transformation workflows using Python and Spark to enhance data quality and reduce processing latency by 30% across real-time and batch systems. Optimized SQL queries and data models in Azure Synapse Analytics, improving data retrieval efficiency by 25% and supporting high-performance reporting. Partnered with cross-functional teams to meet compliance requirements, improving reporting accuracy and ensuring secure data handling.

Data Engineer at CVS Health

November 1, 2022 - September 30, 2024

Built robust ETL pipelines using Azure Data Factory, SQL, and Python to integrate healthcare data and improve processing efficiency by 35%. Developed data warehousing solutions using Azure Synapse and SQL Server to support analytics for clinical and pharmacy systems, improving reporting performance by 30%. Transformed and validated healthcare datasets using PySpark and ETL frameworks, ensuring consistency and reducing data discrepancies by 25%. Automated data workflows and scheduling, reducing manual intervention by 40% and improving production reliability. Gathered requirements with stakeholders and delivered analytics-ready datasets to improve decision-making and operational efficiency.

Jr. Data Engineer at Cognizant

June 1, 2019 - August 31, 2022

Developed ETL workflows using SQL, Python, and Informatica for enterprise client systems, supporting extraction, transformation, and loading processes. Supported pipeline development and maintenance to improve processing performance by 20% across multiple client engagements. Created and optimized SQL queries and stored procedures to improve data retrieval speed and support reporting over large datasets. Assisted with data model development and source integration, improving data accessibility for analytics teams. Monitored data quality and resolved data issues to improve data accuracy and enable reliable reporting across enterprise platforms.