Akhil Sika
Data Engineer | Expert in Real-Time Data Pipelines, ETL & Data Warehousing | Python, Spark, Kafka, AWS, Azure | Scalable Cloud Solutions for Analytics, Compliance & Business Efficiency
- Role
- Data Engineer at UnitedHealth Group
- Location
- Arlington, TX, US
- LinkedIn followers
- 500 followers
About Akhil Sika
As a Data Engineer at UnitedHealth Group, I specialize in optimizing healthcare data…
Experience
Data Engineer
Aug 2024 — Present · Schaumburg, IL, US
Optimized enterprise-level healthcare data warehouses using ERwin Data Modeler, enhancing data accessibility for clinical and claims analytics teams by 30% across departments.• Enforced HIPAA compliance by integrating Azure Key Vault and Role-Based Access Control (RBAC), fortifying PHI/PII protection across Azure-based data environments. • Integrated FHIR APIs, HL7 messages and EDI (X12 837/835) standards into scalable ETL pipelines to enable seamless interoperability with EHR, EMR and payer systems.• Engineered real-time data ingestion and streaming solutions using Apache Kafka and Spark Streaming to power live dashboards for critical patient vitals and alerts, reducing latency by 35%.• Designed and implemented real-time KPI tracking systems using Apache Flink to monitor ED throughput, LOS and patient wait times, leading to a 20% improvement in response efficiency.• Applied Azure Key Management Services (KMS) and end-to-end encryption techniques to ensure secure storage, transmission and access of sensitive healthcare data in compliance with HITECH and HIPAA regulations.• Optimized complex SQL queries across large-scale claims and patient datasets, reducing turnaround time for adjudication and processing by 35%.• Created executive-level Tableau dashboards visualizing hospital readmissions, patient admission trends and claims processing metrics, facilitating data-driven policy decisions. • Implemented robust data lineage and governance using Apache Atlas and Collibra, improving traceability, auditability and regulatory compliance for healthcare data assets by 50%.• Built subject-oriented data marts and designed star-schema models to support population health and utilization reports, resulting in a 20% improvement in query performance and reporting efficiency.• Configured real-time alerting and monitoring systems with Prometheus and Grafana to track ETL failures, schema drifts and latency issues, reducing downtime and SLA breaches by 25%.
Education
Vidya Jyothi Institute Of Technology
Bachelor of Technology - BTech
2015 — 2018
Northern Illinois University
Masters in Management Information Systems
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