Open to opportunities

Shineka Barnett

@shinekabarnett

I build secure, scalable cloud data pipelines for enterprise analytics and regulated healthcare data.

I'm currently building batch and incremental ingestion pipelines for Ross Dress for Less through Dexian, using StreamSets, IBM DataStage, Snowflake, Delta Lake, Python, and Bash. I also support secure API integrations, CyberArk credential management, production troubleshooting, and cloud infrastructure automation with PySpark, AWS, Apache Airflow, and Terraform.

Previously at Gainwell Technologies, I led Medicaid data migrations from IBM DataStage to Databricks and built multi-terabyte ETL/ELT pipelines across claims, eligibility, provider, pharmacy, and finance data. I improved batch performance by up to 40%, implemented RBAC, masking, encryption, lineage, and CI/CD controls, and supported Tableau reporting with governed, high-quality data.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Dexian

Jun 2026 - Present (3 months)

Architect and maintain scalable batch and incremental data ingestion pipelines using StreamSets and IBM DataStage, landing into Snowflake and Delta Lake. Integrate CyberArk for secure credential management and serve as Tier-3 escalation for production operations.

Streamset IBM DataStage Snowflake Delta Lake CyberArk Python BASH Linux Windows Server RBAC Unity Catalog PySpark AWS Airflow Terraform

Data Engineer

Gainwell Technologies

Apr 2024 - Mar 2026 (1 year 11 months)

Led migration of legacy IBM DataStage workflows to Databricks-based architecture and designed large-scale ETL/ELT pipelines for multi-terabyte Medicaid datasets. Implemented security controls, data lineage, and CI/CD automation, and optimized ETL workflows improving batch performance by up to 40%.

IBM DataStage Databricks PySpark Python Pandas NumPy SQL S3 Delta Lake RBAC Unity Catalog Data Masking Encryption Tokenization GitHub Actions Terraform Oracle Vertica Tableau Business Objects Medallion Architecture CI CD

Data Engineer/ETL Developer

NYC Department of Correction

Jan 2023 - Feb 2024 (1 year 1 month)

Developed and maintained ETL pipelines using IBM DataStage for operational reporting and analytics. Monitored ETL failures, performed root cause analysis, and supported Cognos reporting and business intelligence use cases.

IBM DataStage ETL Data Validation Data Reconciliation SQL Cognos Root Cause Analysis

Social Work & Human Services Professional

May 2013 - Dec 2022 (9 years 7 months)

Supported vulnerable populations through clinical assessment, case management, and regulatory oversight.

Software Engineer Intern

Predictive Black

Nov 2020 - Jan 2021 (2 months)

Built ETL-style data workflows using Python across Azure and Google Cloud Platform for scalable data ingestion. Developed REST APIs and automated data pipelines, and supported Power BI reporting by preparing structured data.

Python Azure Google Cloud Platform BigQuery REST APIs Logic Apps Airflow Power BI