Data ops & initiative management

Data Ops & Initiative Management

Strong data operations are the backbone of every modern organization. Without them, teams struggle with slow development cycles, compliance risks, data quality issues, and high operational overhead

My background blends hands-on analytics experience with operational experience in complex data environments. I’ve worked as a technical business partner across the full data pipeline, from data collection, ingestion and storage to governance, evangelism, and ongoing operations support.

What I Do

My experience is in data lakes, warehouses, and lakehouse ecosystems using technologies such as Databricks, Snowflake, MySQL Server, and Hive/Hue.

I’m familiar with the full modern data pipeline, including ETL/ELT patterns, streams (i.e. Kafka), partitioning and other storage strategies, identity and access management, orchestration and scheduling (i.e. Airflow), managing data globally across different cloud regions, and various analytics and BI tools (i.e. Databricks, Tableau).

Data Project/Program Management

I manage data projects and programs throughout their entire lifecycle (or part of their lifecycle), including:

Defining requirements and success metrics
Coordinating engineering, analytics, and business teams
Incident response
Working within various reporting systems (i.e. JIRA, Aha) to track and share progress
Ensuring documentation, governance, and handoff readiness
Monitoring adoption, usage and quality over time

I have also supported data programs related to governance, data quality, operational policies, and access management and onboarding (Collibra, Alation, internal enterprise solutions, etc.).

Operational Systems & Processes

I build and maintain operational frameworks that ensure smooth, responsible, and sustainable data use, including access management workflows, technical consumer support, consumer onboarding and education, internal and external documentation, incident response, new feature intake, and schema change communications and rollout.

I have extensive experience designing and maintaining intake processes using Atlassian tools such as JIRA and Confluence, as well as working within Scrum and Agile frameworks.

I ensure that data products and pipelines adhere to relevant laws and company policies, including GDPR, right-to-be-forgotten, risk and privacy considerations, and data retention policies.

I enjoy building systems that are not just functional, but resilient, especially as AI integrates further into decision-making and product experiences.