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Tomisin Haastrup

@tomisinhaastrup

I build cloud-native data platforms, scalable ELT pipelines, and analytics products that drive measurable business outcomes.

United States

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What I'm looking for

I'm looking to lead and build modern cloud data platforms, scalable analytics products, and high-impact engineering teams while staying hands-on with Snowflake, dbt, SQL, and data architecture.

At Niche, I lead data platform modernization across Snowflake, dbt, Airbyte, RudderStack, and Tableau. I reduced annual integration costs by 35% with zero downtime, improved ELT reliability to 99.7%, and delivered a marketing intelligence platform that generated $500K+ in direct revenue in its first sales cycle.

I design end-to-end analytics platforms, from fact and dimension models to metric definitions, quality rules, orchestration, and operational reporting. My work on Keystone improved partner onboarding analytics turnaround by 50% and reduced ad-hoc reporting by 40%.

Previously at Entergy and DSC Logistics, I built AWS data lakes, PySpark pipelines, predictive-maintenance data marts, near-real-time API ingestion, and logistics analytics for operational leadership. I enjoy modernizing complex data ecosystems while staying hands-on with SQL, dbt, Snowflake, and cloud architecture.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Platform Engineer / Architect

Current

Niche

Jul 2024 - Present (2 years 2 months)

Led RFP, vendor evaluation, and migration from Fivetran to Airbyte, reducing annual integration cost by 35% with zero downtime. Designed retry, monitoring, and alerting framework, improving ELT reliability to 99.7%. Implemented Reverse ETL pipelines using RudderStack. Led offshore engineering team building dbt models for Tableau dashboards, delivering $500K+ in direct revenue. Designed all Snowfla

Snowflake DBT Airbyte Rudderstack Tableau SQL ELT Reverse ETL Data Modeling Data Governance

Senior Data Architect / Engineer

Entergy

Jan 2020 - Jul 2024 (4 years 6 months)

Implemented AWS data lake (S3, EC2, Airflow, EMR) in 8 months using layered architecture. Built PySpark pipelines for AMI meter data, weather data, supply chain feeds, and predictive models. Engineered nuclear PI tag data mart enabling predictive maintenance and downtime reduction. Delivered system requirements, ROI analysis, and cost-benefit proposals for executives.

AWS S3 EC2 Airflow EMR PySpark Data Lake Data Marts Predictive Maintenance

Data Engineer

Darwill

Oct 2019 - Jan 2020 (3 months)

Built Redshift pipelines for marketing attribution; developed match-back models using advanced window functions (ROW_NUMBER, RANK). Improved production pipeline reliability and reduced compute inefficiencies.

Redshift SQL Window Functions Data Pipelines Marketing Attribution

Manager, Data Warehouse & BI

DSC Logistics

Feb 2015 - Oct 2019 (4 years 8 months)

Directed end-to-end DW lifecycle for logistics, labor management, finance, and transportation. Built AWS data lake with 5-minute API ingestion cadence for near real-time inventory/inbound/outbound reporting. Delivered Tableau/Cognos reporting via Athena; produced cost, carrier performance, and throughput analytics for Ops leadership. Ran predictive HR analytics (pre/post training t-tests) to evalu

AWS Data Lake Tableau Cognos Athena Analytics Predictive Analytics