Tabrez Alam

About Tabrez Alam

Experienced data engineer with a passion for leveraging cutting-edge technologies to design and implement scalable data solutions. Proficient in Spark, Python, Scala, SQL, EMR, AWS, Athena, Redshift, Glue, Git, data warehousing, data modeling, ETL (Extract, Transform, Load) processes, Delta Lake, and S3. Skilled in building end-to-end data pipelines, optimizing performance, and ensuring data integrity. Strong problem-solving abilities and a collaborative mindset to deliver high-quality results in fast-paced environments.

Experience

1. Data Engineer

   Salesforce

   Apr 2024 — Present · Hyderabad, IN

   Building enterprise data infrastructure for Salesforce\'s Technical Health Score (THS) platform, powering Customer Success analytics across thousands of customer implementations and directly supporting retention and expansion initiatives.Key Impact:Business Results:Delivered automated ETL framework processing millions of daily customer metrics, reducing pipeline development time by 70%Enabled self-service data pipelines for analysts, reducing engineering dependencies and accelerating feature delivery from weeks to hoursBuilt critical data infrastructure supporting Customer Success Scorecard metrics: technical health monitoring, security compliance, performance benchmarks, and adoption analyticsTechnical Achievements:Architected configuration-driven data pipelines using Apache Spark, dbt, Apache Airflow, and Apache Iceberg, enabling rapid development through YAML/JSON configs instead of codeDeveloped dynamic DAG generation framework that auto-creates 20+ production Airflow workflows from declarative configurationsImplemented dbt models for data quality testing, incremental transformations, and dimensional modeling with automated documentation and lineage trackingBuilt 70+ parameterized SQL transformations using Jinja2 templating for multi-domain analytics: Agentforce metrics, security health checks, powerful permissions, password policies, and transaction monitoringCloud & DevOps:Deployed scalable pipelines on AWS (S3, EMR, Glue, Livy) with CI/CD automation (Jenkins, SonarQube)Established data quality frameworks with dbt tests, schema validation, and automated alerting via Slack integrationsReduced code maintenance by 60% through factory pattern design and template-driven architectureTech Stack: Python | PySpark | dbt | SQL | Apache Airflow | Apache Iceberg | AWS (S3, EMR, Glue)| Jinja2 | Docker | Git | Jenkins | SonarQube | SQLFluff | YAML

Education

• Delhi Technological University

  Bachelor of Technology, Computer Engineering

  2014 — 2018