Data Analyst • Data Engineer • BI Storyteller

Building calm, reliable data systems from messy healthcare and business data.

I help teams turn high-volume pipelines, cloud platforms, and complex metrics into trusted dashboards, governed datasets, and decisions recruiters can actually see.

60%Latency reduction
99.9%Pipeline uptime
Cloud pipelines → governed analytics → executive dashboards
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Measured impact

Production outcomes, not just tools.

60%

Cut end-to-end pipeline latency by redesigning financial data flows around event-driven processing.

40%

Improved transformation throughput through Spark tuning, partition strategies, and resource allocation.

50%

Reduced MTTR using structured RCA workflows, automated alerts, and observability practices.

1M+

Records per day processed across ETL pipelines using Python, SSIS, AWS Glue, SQL, and cloud warehouses.

Recruiter snapshot

The profile I bring to teams.

Analytics engineering mindset

Strong in SQL, Spark, Python, Power BI, dimensional modeling, governed warehouse layers, and KPI storytelling.

Healthcare-ready data experience

Hands-on exposure to FHIR/HL7-style healthcare pipelines, claims/Rx data thinking, CMS/Medicare/Medicaid reporting language, PHI-aware controls, and auditability.

Reliability ownership

Comfortable owning root cause, observability, data-quality checks, failure detection, and stakeholder communication from incident to prevention.

Experience

A career built across BI, cloud data, and operations-grade reliability.

Oct 2024 — Present

Data Analyst · CVS Health

Re-architected data pipelines, optimized Snowflake/SQL Server workloads, improved Spark throughput in Azure Synapse, and delivered executive Power BI dashboards adopted by cross-functional teams.

  • 60% lower latency
  • 35% faster SQL execution
  • 99.9% uptime focus
May 2021 — Jun 2023

Data Analyst · Urban Rebox

Built ETL pipelines for 1M+ daily records and consolidated ERP, CRM, and API data into a governed warehouse layer for analytics.

  • 40% ingestion improvement
  • 70% fewer ad-hoc pulls
  • 99% data accuracy
Jan 2020 — Apr 2021

BI Analyst – Marketing · Byju's

Created marketing funnel dashboards in Power BI and QuickSight covering lead conversion, CAC, and campaign performance.

  • INR 1M annual revenue insight impact
  • Power Query + SQL optimization
Selected work

Case studies that show how I think.

Healthcare FHIR → Analytics Readiness

Healthcare-oriented pipeline pattern for converting clinical/claims-style data into trusted analytical layers with bronze/silver/gold processing, audit tables, data quality checks, and PHI-aware access controls.

GCPFHIRPub/SubBigQuery

Executive KPI Command Center

Delivered Power BI dashboards for pipeline KPIs, business metrics, and operational performance, improving visibility for risk, compliance, and cross-functional teams.

Power BIDAXRLSSQL
Technical toolkit

The stack behind the outcomes.

PythonSQLApache SparkPower BITableauQuickSightGCP BigQueryDataflowPub/SubAWS GlueRedshiftLambdaAzure SynapseADFSnowflakeAirflowKafkaDockerKubernetesCloud Monitoring

Open to Data Analyst / Data Engineer roles

Let’s build something measurable.

Based in Frisco, TX. Open to strong opportunities across the U.S. where cloud data, healthcare analytics, Power BI, and reliability matter.