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Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
Cloud Data Engineer
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Data Engineer: Build Scalable AWS Pipelines
Designs and builds scalable AWS data pipelines using Glue, Redshift, and S3, implementing ETL/ELT workflows and optimizing for performance and reliability.
M13 - Data Engineer
Build and maintain AWS-based data pipelines and Redshift warehouses, using Glue, Lambda, and CI/CD to ingest, transform, and optimize data for scalable analytics.
Senior Data Engineer
Design and build AI-powered, cloud-based data pipelines and warehouses for telco and geospatial analytics, integrating 4G/5G infrastructure with retail and healthcare data using PySpark, Airflow, and AWS.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
Senior Data Engineer (Cloud & GenAI)
Design and scale cloud data pipelines and platforms using Informatica, DBT, and Redshift to power analytics, BI, and GenAI use cases.
Data Engineer
Designs and builds scalable AWS and Databricks data pipelines for public-sector and enterprise clients, using PySpark, SQL, and real-time tools like Kafka to power analytics and decision-making.
Information Technology Consultant (AI Data Engineer (Cloudera to AWS Migration)
Build and migrate AI/ML pipelines from Cloudera to AWS, using Python, PySpark, and AWS services like Sagemaker and Glue to deploy scalable GenAI and ML models.
Senior Data Engineer, Compliance Data Infrastructure
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
Senior Data Engineer
Build and maintain scalable data pipelines, develop ML models, and analyze datasets to extract insights using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior / Data Engineer
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, merging datasets into a centralized warehouse and preparing data for AI/LLM tools.
Data Engineer [Cloud]
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Data Engineer (IT Consultancy, AWS)
Build and maintain scalable data systems, design ETL/ELT pipelines, and optimize data quality using AWS, Python, SQL, and Spark for analytics and ML workloads.
DATA Engineer
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Data Engineer
Build and maintain data pipelines, ETL/ELT processes, and data models on Google Cloud to support analytics and decision-making for a retail enterprise.
Data Engineer
Build and optimize cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica for healthcare analytics and AI/ML workloads.
Senior Java Developer - Menrva Group
Build and maintain a Linux-based, AWS-hosted data platform using Java, Spark EMR, Kafka, Scala and Angular to power a financial firm’s data warehouse and BI tools.
Senior DevOps Databricks Engineer
Design and run Databricks-based data/ML platforms on AWS for a financial-crime product, focusing on governance, security, and DevSecOps rather than Spark coding.
Data Engineer DevOps
Build and optimize data pipelines for semiconductor manufacturing using AWS, PySpark, Redshift, and Python to support analytics and AI initiatives across global fabs.