▸ Data Engineer · Cloud Architect · AI Builder — Findlay, OH USA
Sushnith
Vaidya
5 years engineering enterprise data systems at scale
▸ Live data pipeline — enterprise ETL architecture
~150 GB/day
🗄️
Oracle / SQL
Source DB
🔄
Alteryx / SSIS
ETL Ingest
⚡
PySpark
Transform
✅
Gr. Expectations
Quality Gate
🌀
Airflow
Orchestrate
📊
BigQuery
Warehouse
📈
Tableau / PBI
Insights
▸ View Projects GitHub ↗ LinkedIn ↗ Contact ↗
5+
Years Experience
3
Cloud Platforms
150GB
Daily Data Processed
5
Portfolio Projects
01 · About Me
Building data systems
that matter at scale

I'm a Data Engineer with 5 years of experience designing, optimizing, and operating scalable data solutions across healthcare, finance, and enterprise domains. Currently at CVS Health, I build Alteryx and SSIS pipelines moving ~150GB/day, implement HIPAA-compliant data governance, and design Tableau and Power BI dashboards driving executive decisions.

At Wipro, I built Azure Data Factory and Databricks ETL pipelines processing 250–300GB/day, designed dimensional models in Snowflake, and applied GxP and HIPAA compliance controls via Azure DevOps.

In 2026, I completed the Anthropic Claude Code in Action certification and built UIgen — an AI-powered React component generator demonstrating my expansion into AI engineering with Claude's API, MCP servers, and Playwright automation.

Certifications
Claude Code in Action
ANTHROPIC · MARCH 2026
Data Analyst Certification
U OF FINDLAY
Data Analytics & Visualization
ACCENTURE
Career Essentials in Business Analysis
MICROSOFT
📍
Location
Findlay, OH, USA
🏢
Current Employer
CVS Health — Data Engineer
🎓
Education
MS Business Analytics · University of Findlay
🤖
AI Tooling
Claude Code · MCP Servers · Playwright
📧
Email
sushnith2022@gmail.com
⚡
Status
Open to New Opportunities
02 · Technical Skills
The full modern data stack
⚡
Languages
PythonSQLPySparkScalaRTypeScriptBashJava
☁️
Cloud Platforms
GCP · BigQueryAzure · ADFAWS · GlueSnowflakeDatabricksAzure DevOps
🔄
ETL & Orchestration
AlteryxApache AirflowSSISAzure Data FactorydbtAWS Glue
🌊
Streaming & Big Data
Apache KafkaApache SparkSpark StreamingDebeziumApache DruidHadoop
✅
Data Quality & Governance
Great ExpectationsMonte CarloHIPAAGxPOpenLineageRBAC / Masking
📊
BI & Visualization
TableauPower BIQlik SenseLookerExcel
🤖
AI & Dev Tooling
Claude CodeAnthropic APIMCP ServersPlaywrightNext.jsPrismaVitest
🗄️
Databases
BigQueryMS SQL ServerOraclePostgreSQLTeradataMySQLMongoDB
🏗️
Architecture Patterns
Star SchemaCDC / MERGEMedallion Arch.Data LakehouseDelta LakeLambda / Kappa
03 · Experience
5 years of production
data engineering
May 2024 — Present
CVS Health
Remote, USA
Data Engineer
Architecting enterprise ETL and reporting systems for healthcare and financial data with HIPAA compliance at scale.
  • Develop, test, and deploy Alteryx workflows automating ETL from Oracle and MS SQL Server — processing ~150GB/day, reducing manual effort by ~40%
  • Build and maintain SSIS packages for scheduled and incremental data loads into enterprise data warehouses, improving availability by ~25%
  • Design Tableau and Power BI dashboards for operational and executive decision-making across healthcare business units
  • Write and optimize complex SQL queries, stored procedures, and views, reducing execution time by ~25%
  • Troubleshoot pipeline and SQL performance issues, improving overall reliability by ~30%
AlteryxSSISSQL ServerOracleTableauPower BIHIPAA
Aug 2020 — Aug 2022
Wipro IT Corporation
Hyderabad, India
Data Engineer
Built scalable Azure-based ETL pipelines, dimensional models, and compliance-controlled data infrastructure for global enterprise clients.
  • Built batch and incremental ETL/ELT pipelines using Azure Data Factory, Python, SQL — processing ~250–300GB/day
  • Developed Spark transformation jobs in Databricks, improving processing efficiency by ~25%
  • Implemented automated data validation rules, reducing quality incidents by ~30%
  • Designed dimensional models and data marts in Snowflake and Azure SQL for enterprise reporting
  • Applied HIPAA and GxP controls — RBAC, data masking, encryption — via Azure DevOps
Azure Data FactoryDatabricksPySparkSnowflakeAzure DevOpsHIPAAGxP
Sep 2022 — Feb 2024
University of Findlay
Findlay, OH
Data Analyst — UF TV
Analyzed student engagement and audience data to optimize broadcast content and build reporting infrastructure for university media operations.
  • Analyzed engagement data using Excel, SQL, and statistical methods, improving content reach by ~20%
  • Built Tableau and Power BI dashboards tracking viewership KPIs, reducing manual reporting by ~30%
  • Developed sports analytics dashboards for player and team performance
TableauPower BISQLPythonExcel
04 · Projects
Production-grade portfolio
across data & AI
🤖
UIgen — AI React Component Generator
AI · FEATURED
Full-stack AI app built with Claude Code during the Anthropic Claude Code in Action certification. Describe a UI component in plain English → get production-ready React/TypeScript code with live preview instantly.
  • 143 files, 98% TypeScript — Next.js 15 App Router, React 19, Tailwind CSS v4
  • Anthropic Claude API integration for intelligent component generation
  • MCP Server + Playwright browser automation for AI-assisted testing
  • Prisma + SQLite ORM for persistent design management; Vitest test framework
  • Custom /audit Claude Code command for AI-driven security review
Next.js 15TypeScriptClaude AIPrismaPlaywright MCPVitest
GitHub ↗
🏥
Healthcare ETL Pipeline
8/10
HIPAA-compliant PySpark ETL for clinical data with SHA-256 PHI masking, ICD-10 validation, and Airflow orchestration from GCS through Dataproc to partitioned BigQuery output.
  • SHA-256 PHI masking on name, DOB — HIPAA-compliant anonymization
  • Airflow DAG: GCS sensor → Dataproc → BigQuery validation → Slack alert on failure
  • Valid/invalid record separation with audit timestamps; class-based, fully documented
PySparkAirflowBigQueryDataprocHIPAA
GitHub ↗
☁️
Cloud Migration Toolkit
8/10
Enterprise Teradata → BigQuery migration framework: schema conversion, CDC MERGE with ROW_NUMBER deduplication, row-count reconciliation, partition pruning, and full star schema — patterns applied at CVS Health.
  • CDC MERGE + ROW_NUMBER deduplication — production incremental load pattern
  • FULL OUTER JOIN reconciliation between Teradata source and BigQuery target
  • Complete star schema: dim_date, dim_patient, dim_provider, fact_claims
BigQueryTeradataSQLdbtCDC
GitHub ↗
🌊
Real-time Streaming Pipeline
7/10
Debezium → Kafka → Spark Streaming → Great Expectations → Apache Druid for sub-second CDC analytics. Airflow TaskGroup orchestration with Kafka Connect REST management.
  • Debezium CDC from PostgreSQL and MySQL; Kafka Connect via REST API in Airflow
  • Great Expectations validation gates + dead-letter queue for failed records
  • Apache Druid ingestion spec for real-time OLAP serving
KafkaSpark StreamingDebeziumDruidAirflow
GitHub ↗
✅
Data Quality Framework
8/10
19-check Great Expectations validation suite covering volume, schema, nulls, ICD-10 regex, statistical distributions, and referential integrity — HIPAA-compliant with Monte Carlo observability integration.
  • 19 expectation checks: row counts, schema, nulls, uniqueness, ranges, freshness, integrity
  • ICD-10 regex + statistical distribution checks on claim amounts
  • Monte Carlo awareness for downstream data observability
Great ExpectationsPythonAirflowMonte Carlo
GitHub ↗
View All on GitHub ↗
05 · Contact
Let's build
something great

Open to Data Engineer, Cloud Engineer, and AI Engineer roles. Happy to discuss full-time opportunities, consulting, or interesting data architecture problems. Based in Findlay, OH — open to remote and hybrid US roles.

Available for Opportunities
📧
Email
sushnith2022@gmail.com
💼
LinkedIn
linkedin.com/in/sushnith-vaidya
⚙️
GitHub Portfolio
github.com/sushnith2022-art/portfolio
🤖
UIgen — AI Project
github.com/sushnith2022-art/uigen
📱
Phone
(567) 294-3504