About Aditya
I am a Data Engineer with 4+ years of experience building scalable data platforms and analytics solutions on Microsoft Azure and Microsoft Fabric.
I specialize in:
•Designing medallion architecture (Bronze / Silver / Gold)
•Building Delta Lake pipelines using PySpark
•Azure Databricks & Microsoft Fabric
•SQL optimization & performance tuning
•Healthcare analytics (risk scoring, claims data, cohort analysis)
Currently delivering enterprise solutions for US healthcare organizations, focusing on performance, data quality, and scalable architecture.
I help businesses:
✔ Modernize legacy SQL systems into lakehouse architecture
✔ Build automated data pipelines
✔ Create analytics-ready datasets
✔ Optimize cloud data costs
Let’s build something scalable and production-ready.
English
Native or bilingual
Can work on-site
Atlanta (up to 50km)
Experience
- Parkar Digital — US Healthcare Client DeliverySenior Data EngineerMarch 2023 - Today (3 years and 3 months)Project:• • Designed and owned enterprise-scale Microsoft Fabric lakehouse architecture supporting Bronze, Silver,and Gold layers for healthcare analytics.• • Migrated complex legacy SQL Server analytical views into Delta Lake while maintaining strict 1-to-1logic fidelity for financial and clinical reporting.• • Developed reusable PySpark frameworks and Python utility packages for cohort generation, auditlogging, Excel report generation, and automated email delivery.• • Optimized distributed Spark workloads using partitioning, broadcast joins, caching, and Deltaoptimizations, reducing processing times by 30–60%.• • Delivered analytics-ready Gold datasets enabling downstream BI dashboards and executive reporting.Project:• • Built and maintained PHI-compliant pipelines by systematically removing and masking sensitiveidentifiers to support safe analytics and regulatory compliance.• • Implemented robust data validation, logging, alerting, and retry mechanisms to ensure reliability of operational healthcare datasets.• • Supported production workloads with strong SLAs, performing root-cause analysis and resolvingpipeline failures to maintain data availability.• • Collaborated with clinical and analytics stakeholders to translate healthcare workflows into reliable, production-grade data models.
- Parkar Digital — Enterprise Data PlatformsAssociate Data EngineerJanuary 2022 - March 2023 (1 year and 2 months)• • Built and maintained Azure Data Factory (ADF) pipelines for enterprise-scale ETL workflows using complex SQL transformations.• • Automated manual data processing tasks, reducing operational overhead and improving data deliverySLAs.• • Implemented monitoring and alerts for pipeline failures to ensure high availability and rapid response.• • Resolved production issues tracked via JIRA, implementing permanent fixes to improve systemstability.• • Authored runbooks and onboarding documentation to standardize operational processes and accelerateteam ramp-up.• • Performed extensive data quality assurance testing to validate integrity and accuracy across the ETLlifecycle.
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Education
- Microsoft Azure Data Engineer Associate (DP-203)Microsoft Azure Data Engineer Associate (DP-203)
- Bachelor of EngineeringG H Raisoni Academy of Engineering & Technology2021Bachelor of Engineering