Open to opportunities

Hai Nam Vu

@hainamvu

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Data Engineer and Backend Developer focused on reliable cloud pipelines.

Vietnam

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What I'm looking for

I’m looking for a role where I can build end-to-end data ingestion and monitoring on cloud platforms, deliver robust backend APIs, and automate pipelines—working closely with product to turn insights into reliable, scalable systems.

I’m an experienced, flexible data engineer and backend developer with knowledge of big data, cloud computing, and backend development. I’m always eager to learn and adapt, especially when collaborating with product teams and engineers across time zones.

In my Data Engineer role at NTTDATA, I designed a data ingestion system using MS Azure Fabric, built LGTM stacks, and created Grafana dashboarding. I also built a Metric Anomalies Detection system with Airflow, GitHub Action, and Azure Monitoring, then delivered Databricks notebooks for ingestion logic, scheduled automation, and availability checks.

As a Backend Developer, I developed backend APIs using Quarkus and designed databases with MongoDb and PostgreSQL. I worked on backend services that support customer applications and helped define how they integrate into end-to-end monitoring.

Previously, as a Cloud Data Engineer and Data Analyst, I designed storage on HBase and Elasticsearch, created data queues with Kafka, and built ETL pipelines for daily statistics. I also used PySpark for log analysis (including handling 10TB of daily data traffic) and supported scheduled analytical workflows with Airflow, while strengthening my data-driven, monitoring-first mindset.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Ntt Data VDS

Mar 2026 - Present (4 months)

Designed a data ingestion system on MS Azure Fabric and built LGTM stacks with Grafana dashboards. Developed a metric anomalies detection system using Airflow, GitHub Actions, Azure Monitoring, and Databricks notebooks for ingestion logic and availability checks.

Azure LGTM Grafana Airflow GitHub Actions azure monitor Databricks Python PowerShell

Backend Developer

Ntt Data VDS

Feb 2023 - Oct 2023 (8 months)

Developed backend APIs using Quarkus and designed databases using MongoDB and PostgreSQL. Built services by integrating frontend API needs and supporting data persistence requirements.

Quarkus PostgreSQL MongoDB Backend Services

Cloud Data Engineer

Vccorps

Apr 2022 - Dec 2022 (8 months)

Designed HBase and Elasticsearch databases to store user information and built ETL pipelines for daily statistics. Implemented data queues with Kafka and integrated Google Ads API and Facebook Ads API to sync ad data, using Scala/Spark jobs for mass calculations.