Sai K
Lead Data Engineer @HCA Healthcare
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WORK HISTORY
Lead Data Engineer @HCA Healthcare
Built end-to-end data ingestion and transformation pipelines to process HL7/FHIR healthcare records, automating ETL workflows for claims, provider, and patient datasets.Designed HIPAA-compliant data architectures, implementing encryption, access controls, and governance mechanisms to securely manage PHI/PII data within enterprise data lakes.Administered Azure Front Door WAF and Azure Application Gateway WAF policies, configuring managed rule sets, custom rules, and exclusions to protect enterprise web applications from OWASP Top 10 threats such as SQL Injection, Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF).Designed application-specific WAF protection profiles by collaborating with application owners, DevOps, and security teams, implementing path-based rules, rate limiting, IP filtering, and geo-blocking while minimizing false positives.Optimized large-scale analytical queries and storage layouts using partitioning and compression strategies, reducing clinical reporting latency by 30%.Automated infrastructure provisioning and deployment workflows using Infrastructure-as-Code practices, ensuring consistent, auditable environments across development, QA, and production.Configured and customized the Quantexa platform to support entity-centric analytics, enabling accurate linkage of customers, accounts, and transactions across fragmented data sources.Architect and manage scalable GCP-based data platforms using BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage to support high-volume healthcare and pharmacy-aligned datasets.Design and optimize pipelines supporting the Pharmacy Claims Lifecycle, including Claim Ingestion, Eligibility Validation, Coverage Verification, and Reimbursement Analytics within HIPAA-compliant environments.Implemented robust monitoring and observability frameworks for ETL jobs and analytical workloads, enabling proactive issue detection and real-time operational visibility.
EDUCATION
Southern University and A&M College- Baton Rouge
Computer and Information Sciences
Saveetha Engineering College
Bachelor's degree, Computer Science
ABOUT SAI K
I am a Data Engineer with 12 years of experience helping enterprises across finance, healthcare, insurance, retail, and telecom modernize their data platforms and unlock real business value from data. Over the years, I’ve built a track record of taking organizations from fragmented, legacy systems to cloud-native, governed, and AI-ready ecosystems.Hands-on expertise in Azure Front Door WAF and Azure Application Gateway WAF, implementing managed rules, custom rules, exclusions, and rate-limiting policies to protect applications against OWASP Top 10 threats including SQL Injection, XSS, CSRF, and bot attacks.Strong experience designing application-specific WAF protection profiles, implementing path-based rules, geo-blocking, IP filtering, header security controls, and TLS policies aligned with business requirements.Designed and implemented AI-driven Entity Resolution (ER) frameworks in Quantexa using deterministic and probabilistic matching to create trusted Golden Records across complex enterprise datasets.My expertise spans the multi-cloud landscape (AWS, GCP, Azure) where I’ve architected large-scale data lakes and warehouses using Snowflake, BigQuery, Redshift, and Delta Lake. I’m equally comfortable with streaming-first architectures, leveraging Apache Kafka, Apache Flink, and Pub/Sub/Kinesis to enable real-time analytics, fraud detection, and regulatory reporting pipelines.In the modern data stack, I’ve led the adoption of dbt and Airflow for transformation and orchestration, ensuring pipelines are efficient, automated, and observable. I place a heavy focus on governance and compliance, with hands-on expertise in Unity Catalog, Collibra, Privacera, and Great Expectations to embed lineage, quality, and auditability directly into the architecture critical for industries under HIPAA, SOX, GLBA, and PCI-DSS.I also bring deep knowledge of infrastructure automation and DevOps. Using Terraform, Kubernetes, and Docker, I design environments that are reproducible, secure, and scalable. Combined with CI/CD (GitLab, Azure DevOps), this allows teams to move fast without sacrificing reliability.One of my strongest focus areas is preparing enterprises for the next generation of AI-driven analytics. I’ve architected LLM-ready and GenAI pipelines, integrating enterprise data into AI/ML platforms like Vertex AI and SageMaker to enable intelligent applications, from predictive models to natural language insights. This bridges the gap between raw data engineering and applied AI, positioning organizations to compete in a rapidly changing landscape.
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