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Lead Data Engineer role at Latent View Analytics in Negros Occidental, Philippines: build, deploy, and own ETL/ELT pipelines across on-prem and cloud (GCP), drive technical decisions, review code, and mentor other data engineers. Core stack: PostgreSQL, BigQuery, Spark, Kubernetes, Jenkins, Python, and SQL.
A senior data engineering leader who architects and operates an AI-first Databricks lakehouse (Medallion architecture, Unity Catalog, Delta Live Tables, vector search) for the customer enablement stack. Day to day: building model-ready pipelines, Spark performance tuning, DataOps/MLOps CI/CD, and self-service tooling for internal DS/ML teams.
Lead Data Engineer at Latent View Analytics architecting and releasing ETL/ELT data pipelines across on-prem and cloud, while driving technical decisions, reviewing and mentoring teammates. Core stack: PostgreSQL, GCP/BigQuery, Spark, Kubernetes, and Jenkins, with a focus on monitoring and solid CI/CD.
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