Open to opportunities

Reshma Reddy

@reshmareddy

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Experienced Senior Data Engineer specializing in scalable data pipelines.

United States

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What I'm looking for

I am looking for a role that challenges my data engineering skills while offering opportunities for growth and collaboration in a dynamic team environment.

I am an experienced Senior Data Engineer with over 4 years of expertise in designing and maintaining scalable data pipelines across the banking and healthcare industries. My specialization lies in building robust ETL processes using GCP, AWS, and Azure, while automating workflows through tools like Airflow and Jenkins. I have consistently ensured HIPAA and GDPR compliance when handling sensitive healthcare and financial data.

In addition to backend engineering, I have generated insightful reports and dashboards using Power BI, Tableau, and AWS-native tools, helping stakeholders make informed decisions based on real-time data. I am passionate about solving complex data challenges and delivering solutions that align with business goals, ensuring that my work not only meets technical standards but also drives value for the organization.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Conifer Health Solutions

Jan 2023 - Present (2 years 6 months)

Engineered and managed ETL pipelines using AWS Glue, S3, RDS, and Redshift, automating data ingestion and processing for large-scale healthcare datasets. Designed and implemented automated ETL processes for electronic health records (EHR) and patient data on AWS, boosting data retrieval speeds by 35%.

AWS Glue Amazon S3 Amazon RDS Amazon Redshift Terraform ETL AWS Lambda Python SQL Docker Amazon EKS CI CD AWS CodePipeline HIPAA)GCP BigQuery Cloud Functions Cloud Storage Agile Scrum Kanban

Data Engineer

Cognizant

Dec 2019 - Present (5 years 7 months)

Designed and developed robust, scalable ETL pipelines using Azure Data Factory to ingest and transform high-volume banking data. Built and optimized large-scale PySpark data workflows in Azure Databricks, improving data processing performance by 40% for daily financial aggregates.

Education

Degrees, certifications, and relevant coursework

University of Memphis

Master's in Computer Science, Computer Science

Pursued a Master's degree in Computer Science, focusing on advanced topics and research within the field. Developed a strong foundation in theoretical and practical aspects of computer science.