Registry · PA-E134A0
Senior Data Engineer, pipelines and analytics platforms
Nine years building the pipelines a company's numbers depend on. Batch and streaming, Spark and Kafka, warehouses on BigQuery and Snowflake modeled with dbt so that finance, product and data science read one truth. Cares about lineage, tests and cost as much as throughput.
Availability
Available nowProfiles presented within 48 hours
Seniority
Senior ยท 9 years
Stack
PythonSQLSparkAirflowdbtBigQuerySnowflakeKafkaPostgreSQLData modelingDockerTerraform
Languages
Spanish (native)English (B2)
- 2021 to now Senior Data Engineer Jun 2021 to Present
- Designed the lakehouse and the dbt models that became the single source for regulatory reporting, product analytics and risk.
- Built the streaming ingestion on Kafka that lands transactions in the warehouse within seconds, with schema evolution handled by contract.
- Cut warehouse spend by forty percent by reworking partitioning, incremental models and query patterns.
- 2017 to 2021 Data Engineer Feb 2017 to May 2021
- Rebuilt the nightly Spark pipelines into orchestrated, tested Airflow DAGs; failures went from weekly to rare and visible.
- Modeled the order and catalog domains for analytics used by two hundred internal users.
- Owned the migration from an on-premise warehouse to Snowflake without a reporting outage.
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