Work Experience

Data Engineer — State of Ohio — Columbus, OH

May 2025 – sep 2025

Led requirements refinement and delivery lifecycle for Oracle migration (~10M records), producing BRD/FRD and technical acceptance criteria.
Developed Databricks PySpark jobs and ADF pipelines to integrate, transform, and validate data; applied schema evolution and checkpointing for reliable workloads.
Authored and optimized stored procedures and MERGE logic in Synapse/SQL for incremental loads, improving runtime 40%.
Built monitoring and quality controls with Azure Monitor + Log Analytics, enabling proactive triage and reducing MTTR 45%.
Mentored junior engineers on CI/CD pipelines (Azure DevOps), TDD practices, and code reviews, cutting change failure rate 30%.
Deployed private endpoints, storage firewalls, and RBAC; integrated RLS for downstream models to meet HIPAA requirements.
Instrumented pipelines via Azure Monitor + Log Analytics, emitting run metrics (rows, latency, failures) and Action Group alerts to email/Teams; improved MTTR 45%.
Introduced budgets/tags and autoscaling policies; paused non‑prod SQL pools off‑hours and used Databricks job clusters with auto terminate—lowering monthly compute ~15–20%.
Set up Azure DevOps multi‑stage CI/CD for ADF JSON, Databricks notebooks, and Synapse SQL (build → test → release with approvals/rollback), cutting change failure rate 30%.
Designed control tables (batch logs, checkpoints, error registry) and retry semantics; increased job success rate to 99.7%.
Implemented incremental loads using SCN/watermarks and idempotent MERGE logic; reduced nightly processing time 40% and stabilized runtimes.
Tuned staging performance with partitioning, indexing, bulk binds and Synapse distributions; reduced heavy‑join temp usage 30%

Data Engineer — Kaizen Family Dental, Cincinnati, OH

Oct 2024 – Apr 2025

Partnered with managers to define Salesforce CRM reporting needs, aligned ServiceNow workflow automation, and created SLA trackers that reduced redundant manual reviews and improved cycle times.
Designed operational dashboards integrating Salesforce KPIs with ServiceNow intake data, delivering actionable insights to staff and boosting compliance with reporting policies.
Facilitated Salesforce UAT sessions and handled ServiceNow ticket escalations, improving user adoption, decreasing defects by 20%, and streamlining dental claims resolution processes.
Authored SOPs, governance documentation, and system usage guidelines to enhance transparency, reduce ticket backlogs, and improve compliance across multiple clinics.
Built automated Power Query and Tableau reports, including paginated exports, saving 2+ hours per week in finance reporting cycles.
Supported cross-functional analysts with query templates, certified datasets, and training sessions.
Delivered quarterly audit views using ACCESS_HISTORY for governance compliance.
Published “What’s New” digests for Snowflake features and recommended safe
Created self-service analytics interfaces with parameterized queries, pre-aggregated tables, and query templates in Redshift and Tableau, increasing adoption by 30%.
Monitored infrastructure and job performance using CloudWatch, CloudTrail, and SNS-based alerts, reducing SLA breaches and improving data pipeline uptime.

Oracle Developer — Pacific Gas & Electricity (PG&E)

Apr 2024 – Sep 2024

Automated daily report generation using Oracle Data Facilitated cross-functional workshops (field ops, customer care, billing) to capture requirements; produced BRD/FRD, BPMN maps, user stories, and acceptance criteria.
Facilitated requirements workshops with stakeholders, documenting system needs via BRD/FRD, BPMN flows, and traceability matrices.
Built and tuned Oracle SQL procedures and Power Query workflows for KPI dashboards, reducing refresh times by 40%.
Introduced row-level security and governance across BI platforms, ensuring compliance with data access standards.
Led UAT cycles (test scenarios, traceability, regression tests); improved first-pass test success rate from 70% → 92%.
Collaborated with engineering teams to close data management gaps, reducing reporting defects and rework.
Optimized DAX and Power Query steps; decreased dataset refresh time 40% and improved report load time 30%.
Set up ServiceNow intake for data/report requests with SLAs and priority rules; cut request cycle time 25% and improved on time delivery to 95%.
Authored data dictionary and KPI definitions; reduced metric ambiguity and ad hoc clarification churn 60%.
Implemented automated distribution (subscriptions) and usage analytics; increased monthly active viewers from 45 → 110.
Facilitated UAT across 3 squads; improved first pass test success from 70% → 92%.
Mapped as is/to be processes and handoffs; removed redundant approvals and reduced rework 20%.

Associate (Data/Analytics) — Cognizant

Jun 2020 - July 2023

Assisted in analyzing healthcare claims and operational data using descriptive statistics and trend analysis to support business reporting needs.
Led data mapping and transformation efforts during Oracle Cloud ERP migration (PIM, Financials).
Ensured 95%+ data integrity during SIT/UAT through automated Python scripts and manual QA procedures.
Designed master data enrichment logic for Oracle cloud loaders to meet business rule requirements.
Built and tuned SQL queries, PL/SQL scripts, and reconciliation reports supporting ERP migration and healthcare analytics.
Authored data enrichment and validation logic for Oracle ERP loaders, ensuring >95% data integrity.
Automated test scripts and participated in SIT/UAT cycles, reducing defect reopen rates 20%.
Produced structured remediation reports with root cause analysis; accelerated test cycle turnaround.
Collaborated across IT/business teams on data profiling, quality management, and governance documentation.
Designed structured remediation reports highlighting failed records, root causes, and recommended fixes, accelerating