Steven Halim

Background

About Steven Halim

Experienced ETL Developer and Data Engineer with a strong background in delivering data integration, migration, and governance solutions within the Banking and Finance sector. I’ve worked in fast-paced, high-stakes environments, supporting both enterprise modernization and regulatory compliance needs.I design and implement end-to-end data management solutions—spanning architecture design, development, and deployment—across on-premise and hybrid cloud infrastructures. Known for my ability to bridge the gap between technical execution and business outcomes, I collaborate closely with system administrators, analysts, and stakeholders to deliver scalable, sustainable data solutions.Recently, I’ve also contributed to initiatives exploring the use of Generative AI (e.g, Qlik Staige, AWS Bedrock) to enhance smart data discovery and metadata enrichment, adding value in automation and governance efforts.Core Competencies- ETL & Data Integration – Building scalable ETL pipelines for data transformation, harmonization, and migration across diverse platforms- Data Governance & Metadata Management – Implementing cataloging, lineage, and stewardship using tools like Talend Data Catalog and Alation- Real-Time & Batch Processing – Delivering CDC-based pipelines for both real-time replication and scheduled processing- Data Warehousing & Lakes – Managing data flows from ingestion layers to curated analytical zones across DWH and lakehouse models- Big Data & Distributed Systems – Integrating data across distributed systems using modern frameworks and platforms- Database Management – Skilled in Oracle, MySQL, SQL Server, and PostgreSQL including tuning, migration, and administration- Scripting & Automation – Automating ETL jobs via Unix/Linux scripting and integrating with enterprise schedulers- Cloud Platforms – Applying AWS and Azure cloud tools for data ingestion, storage, and processing.Data Visualization & BI Enablement – Supporting Qlik and other BI tools to ensure trusted, governed data availability- Gen AI & Smart Automation – Exploring AI-driven metadata enrichment, data quality analysis, and semantic processing.