Eric Valeo
@ericvaleo
Senior Data Engineer building resilient real-time ETL and analytics platforms that scale to 10x traffic spikes.
United StatesWhat I'm looking for
I’m a Senior Data Engineer with 11 years building production-grade data platforms for analytics, product, and machine learning teams. I’ve consistently taken brittle, batch-heavy pipelines and turned them into resilient real-time systems that keep performance steady through 10x traffic spikes.
At Quartz Query, I lead the end-to-end data platform powering product analytics, internal BI, and the ML feature store across 1,400 enterprise tenants with sub-second freshness. I designed and rolled out a Dataflow + BigQuery streaming stack that replaced a fragile cron plus Airflow pipeline—cutting ingestion freshness from 30 minutes to 9 seconds at P99 across 2.4B events per day. I also built the semantic layer on dbt and Looker (180 handwritten SQL reports to 42 certified models), drove BigQuery cost reductions by rewriting the top jobs and moving cold data to partitioned external storage ($780k annually), and authored the on-call runbook and SLO framework adopted across the engineering org—reducing data incidents breaching customer SLAs from 4 per quarter to 0 in the last 3 quarters.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Quartz Query
May 2022 - Present (4 years 1 month)
Owned the end-to-end data platform powering product analytics, internal BI, and the ML feature store for 1,400 enterprise tenants. Built a Dataflow + BigQuery streaming stack that reduced ingestion freshness from 30 minutes to 9 seconds at P99 across 2.4B events/day, and drove $780k annual BigQuery cost savings while reducing data incidents breaching SLAs from 4/quarter to 0 in the last 3 quarters
Data Engineer
Keen IO
Aug 2018 - Apr 2022 (3 years 8 months)
Built an event ingestion gateway processing 40k events/sec at 99.99% availability across 12,000 customer projects, replacing the legacy Cassandra write path. Led migration from a single-region Cassandra cluster to a multi-region setup using Apache Pulsar and tiered storage, improving read latency by 55%, and designed a query scheduler that reduced over-provisioning by 38% and saved roughly $520k/y
Data Engineer
Alooma
Jun 2015 - Jul 2018 (3 years 1 month)
Shipped and maintained 18 production source integrations to move ~3.2B rows/day into customer warehouses (including MongoDB, MySQL, Salesforce, Mixpanel, and Zendesk). Rebuilt the schema inference engine to reduce new customer onboarding time from 3 days to under 2 hours, developed an API-driven replayable ETL layer, and improved streaming time-to-mitigation from 52 minutes to 11 minutes over 18 m
Education
Degrees, certifications, and relevant coursework
Concordia College, New York
Bachelor of Science, Computer Science
Earned a B.S. in Computer Science in 2015.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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