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Expert in SQL query design (normalization), optimization, indexing, and performance tuning with extensive experience managing relational databases like PostgreSQL in large-scale environments.
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Expertise with non-SQL databases (MongoDB).Experience with CDC (Debezium) and data synchronization.
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Experience with ETL tools such as Spark, Airflow, Pandas and Polars.
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Knowledge of analytics and integrations tools like Airbyte, Grafana and Power BI.
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5+ years of SQL-focused database engineering experience and a bachelor’s degree in Computer Science or equivalent work experience.
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Proven ability to design and manage multi-tenant and single-tenant database models, implement secure virtual partitioning, and optimize schemas for scalability and reliability.
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Strong troubleshooting skills to resolve complex database issues and develop innovative, efficient solutions for data infrastructure challenges.
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Coding skills (such as Python and Golang).
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Experience building database systems that enable secure customer access, data control, and compliance with privacy regulations.
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Effective team player who collaborates with engineering and IT teams and translates technical database concepts into actionable strategies for stakeholders.
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Knowledge of Python or Bash for automation, cloud database platforms like AWS RDS, and containerized environments, such as Docker or Kubernetes.