CASE STUDIES

Selected delivery experience across high-volume, regulated and business-critical industries

Written at industry level to preserve confidentiality while still showing delivery complexity, technical depth and business accountability.

Data QA and data engineering leadership for enterprise marketing and customer data integration

Passenger Maritime Transportation

Led data quality and data engineering efforts in a large passenger transportation environment, building Python and PySpark testing frameworks in Azure Databricks and Unity Catalog, plus ADF pipelines and integration notebooks for Salesforce Marketing Cloud, CRM and Adobe APIs.

Reduced data quality issues by 40% through automated testing frameworks and cut data processing time significantly through pipeline and validation optimization.

Principal Data QA support for campaigns, dashboards and cross-platform validation

Oil & Gas

Lead Data QA professional validating Snowflake, Salesforce, campaign data and Tableau dashboards, and supporting strategic definition of testing scenarios, acceptance criteria and quality expectations.

Cloud migration quality strategy for highly sensitive financial, HR and customer data

Global Maritime Cargo Transportation

Supported a multi-layer cloud migration from on-premise into Azure-based medallion architecture, helping define the testing framework, architecture direction and end-to-end validation approach.

Detected precision loss beyond the 10th decimal point in financial data validation, preventing potentially multi-million dollar reporting discrepancies.

Real-time validation across AWS and GCP in a high-throughput migration

Large-Scale Ecommerce

Validated real-time synchronization in both directions across AWS and GCP using Kafka, MongoDB, Docker, Rancher, SQL Server and PostgreSQL in an environment with millions of transactions per second.

Data QA strategy and data integrity validation for hundreds of radio entities across the US

Media, Radio & Entertainment

Defined testing scope, strategy and framework direction with client leadership, validating large file-based datasets with millions of records in AWS S3 transferred into cloud and Salesforce destinations.

Defined data quality rules that prevented publication of inaccurate radio audience metrics, preserving client and advertiser trust.

QA modernization: Selenium to Cypress with parallel framework alignment

Advanced Manufacturing / Battery

Helped transition a Selenium-based solution into Cypress while validating APIs and internal processes in parallel with a WebdriverIO stream.

The Cypress framework reduced test execution time by 70% and improved test reliability by 30% versus the previous approach.

Quality and systems support for geospatial network mapping

Geospatial Utilities

Worked in geoprocessing and utility-related systems for energy, telecom, water and sewage contexts, focused on platforms used for geographic survey and operational mapping of electrical networks.

QA processes improved data accuracy and reduced errors in geospatial mapping.

System validation with unstable connectivity and evolving public APIs

Healthcare

Worked in healthcare delivery contexts with intermittent internet availability and frequent API changes, maintaining functional system behavior and reliability in real-world conditions.

BI solution built from the ground up for public security decision support

Public Safety / Intelligence

Built a business intelligence solution from scratch for a public safety environment, owning the BI structure end to end and combining system thinking, data organization and reporting strategy.

CONFIDENTIALITY-ALIGNED DELIVERY

Industry depth without exposing client-sensitive information

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