I am Rajeswari Theegala, a data-driven engineer with over 4 years of experience, focusing on cloud data services and ETL automation across healthcare and financial services. I design robust data pipelines and partner with data science teams to enable reliable analytics. I have delivered measurable improvements in reporting reliability and query performance, and I thrive in cross-functional environments that blend engineering, analytics, and compliance. I am passionate about turning data into actionable insights and scalable solutions.

Rajeswari Theegala

I am Rajeswari Theegala, a data-driven engineer with over 4 years of experience, focusing on cloud data services and ETL automation across healthcare and financial services. I design robust data pipelines and partner with data science teams to enable reliable analytics. I have delivered measurable improvements in reporting reliability and query performance, and I thrive in cross-functional environments that blend engineering, analytics, and compliance. I am passionate about turning data into actionable insights and scalable solutions.

Available to hire

I am Rajeswari Theegala, a data-driven engineer with over 4 years of experience, focusing on cloud data services and ETL automation across healthcare and financial services. I design robust data pipelines and partner with data science teams to enable reliable analytics.

I have delivered measurable improvements in reporting reliability and query performance, and I thrive in cross-functional environments that blend engineering, analytics, and compliance. I am passionate about turning data into actionable insights and scalable solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Advanced

Work Experience

Data Engineer at HUMANA
February 1, 2025 - Present
Supported healthcare data ingestion workflows using FHIR, HL7, and Python, structuring EHR and claims datasets to improve data availability for downstream reporting by 21%. Contributed to event-based pipelines with Apache NiFi and Kafka to process utilization and care management events with 24% faster delivery. Assisted in managing healthcare data stores with PostgreSQL and Azure SQL, improving query reliability for population health and care coordination use cases. Performed HIPAA and CMS compliance data validation, reducing recurring data quality issues by 18%. Collaborated with Data Science teams by preparing feature-ready datasets and supporting model input pipelines, reducing model rework cycles by 19%.
Data Engineer at PNC Financial Services
August 1, 2024 - January 31, 2025
Engineered data fabrication pipelines using Databricks and Scala to synthetically augment transaction datasets, improving stress-testing accuracy and risk scenario coverage by 28% across treasury analytics. Automated multi-source data ingestion through Fivetran and Amazon Redshift, accelerating consolidation of payments and balance-sheet data by 34%. Established standardized transformation and analytics layers with dbt, aligning revenue, cost-to-serve, and net interest margin metrics and stabilizing financial reporting consistency by 31% across FP&A functions. Deployed cloud-native data services on AWS (EC2, S3, Lambda), increasing pipeline reliability by 26% while reducing analytics infrastructure provisioning time by 22%. Delivered iterative data solutions within Agile Scrum teams using Jira, improving sprint predictability by 19% and accelerating time-to-insight for profitability and expense trend analysis.
Data Analyst at Infinite Infolab
June 1, 2020 - July 31, 2023
Architected enterprise-grade Data Modeling frameworks across customer, product, and behavioral datasets using SQL, Pandas, and NumPy, standardizing metric definitions and improving reporting reliability by 31% across client programs. Engineered scalable Data Pipelines supporting automated Data Extraction and Transformation ETL using Apache Airflow, Python, and MySQL, reducing processing latency by 39%. Deployed cloud-enabled analytics workloads using Google BigQuery, Azure Synapse, and Snowflake, improving analytical query performance by 35% while enabling secure, scalable access for distributed stakeholders. Delivered executive-ready dashboards using Power BI and DAX translating complex operational metrics into leadership insights that accelerated strategic decision cycles by 28%.

Education

Masters in Business Analytics at Kent State University
August 1, 2023 - December 1, 2024
Masters in Business Analytics at Kent State University
August 1, 2023 - December 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services