Senior Data Engineer · Jakarta
4 years building production lakehouse platforms on AWS and Databricks for enterprises in retail, healthcare, telco and automotive.
01
Senior data engineer at Insignia, leading delivery across concurrent enterprise engagements and owning Databricks architecture standards company-wide.
My core is AWS lakehouse architecture (Glue/Spark, Iceberg, Lake Formation), Databricks (Unity Catalog, Delta Sharing, Lakeflow), Airflow and CDC pipelines. Before that I worked closer to the ML side: LLM reporting, NER models and vector search, which still shapes how I design data for AI workloads.
02
Enterprise client work. Client names withheld; happy to walk through details in conversation.
I.
Telco infrastructure
Architected an ingestion platform processing 10 to 15 GB a day from heterogeneous sources: SAP, RDBMS, POS, SFTP and flat files, landing into a governed lakehouse.
AWS Glue · DMS · Iceberg · Airflow
II.
Automotive conglomerate
Led the migration of 7 TB of historical data: migration strategy, a validation framework to prove parity, and the cutover plan.
Migration · Validation · Cutover
III.
Enterprise client
43 production pipelines and 30 GB monthly throughput, rebuilt on standardized ingestion patterns and medallion-layer conventions that were then reused across other projects.
Databricks · Unity Catalog · Lakeflow
IV.
Healthcare
Built and delivered a 30-pipeline migration into a lakehouse, covering data standardization, metadata centralization and schema governance.
AWS · Lake Formation · Iceberg
V.
Unified Data Platform standard
Reusable CDC and streaming ingestion from Oracle, SQL Server and SFTP into an Iceberg lakehouse on AWS, shipped through GitHub Actions CI/CD and adopted as the team's default pattern.
Glue · DMS · Kinesis · Athena
VI.
NTX Solusi Teknologi
Production LLM solution that cut client report creation time by 90%, backed by NER models at 95% accuracy and an HNSW vector search for retrieval.
LangChain · MLflow · FastAPI
03
Jun 2025 to now
Promoted after 3 months. Leads delivery across 4 concurrent enterprise engagements with a team of 7. Internal Databricks authority: reviewed and approved 4 project architectures. Set the team's engineering SOPs and led pre-sales that helped win two major enterprise accounts.
Apr to Jun 2025
Owned end-to-end delivery of platform modernization work. Defined architecture standards for client Unified Data Platforms, built AWS lakehouses on Iceberg, and introduced CI/CD for pipeline deployments.
Dec 2023 to Mar 2025
ETL/CDC pipelines and a MinIO data lake orchestrated with Prefect. Great Expectations validation caught 95% of anomalies before ingestion. Shipped an LLM reporting product, ran monitoring at 98% uptime, and rolled out DataHub and Amundsen for discovery.
Mar to Jun 2023
NER and document classification based on LayoutLM, reaching 92% accuracy at the first checkpoint.
2019 to 2023
Thesis: session-based recommendation system using gated graph neural networks and attention for e-commerce. Top 5 AI Startup Final Project, Orbit Future Academy.
Certifications
04 · Contact