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AWS Data Engineer
Build and maintain a data lake using AWS services like Glue, Athena, S3, and Airflow, writing PySpark pipelines for ETL and data modeling.
Data & AI Platform Engineer - GenAI Pipelines
Build and maintain data ingestion and transformation pipelines using Databricks, Kafka, PySpark, and SQL to support analytics, reporting, and GenAI knowledge-base solutions.
Data Engineer
Lead a team of data engineers to design, optimize, and maintain AWS-based data platforms (S3, Glue, Snowflake) and Airflow workflows, ensuring stability, security, and alignment with data strategy.
Data Engineer II - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines and GenAI applications for AI-driven analytics projects, collaborating with data scientists and engineers to deliver ML solutions for clients.
Data Engineer
Build and maintain big-data pipelines and warehouses using Hive, Impala, PySpark, and ETL tools; deploy and virtualize data with Cloudera, Denodo, and Linux.
AWS Data Engineer
Build and maintain scalable data pipelines and ETL workflows on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Senior Data Engineer (Networks)
Build and optimize data pipelines and applications for Singtel’s telecom networks using Hadoop, Spark, Python, and Airflow, and create dashboards with React or Angular.
#EG Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and enabling analytics and ML workloads with PySpark and Delta Lake.
Data Engineer( Lead)
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Data Engineer (AWS)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Terraform, while automating deployments with CI/CD.
Reporting and Analytics Developer/Data Engineer
Build and maintain data pipelines, reports, and dashboards for a government authority using Python, PySpark, SQL, and visualization tools like Tableau.
Data Engineer (Databricks)
Build and maintain production-grade data pipelines on Databricks and AWS, using PySpark, Delta Lake, and structured streaming to feed AI/ML and BI workloads.
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.
Data Engineer
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
AI-Enhanced Data Engineer for Reports & Dashboards
Build automated reports, dashboards, and AI-assisted workflows using SQL, Python/PySpark, and ETL tools for data-driven insights.
Gen AI-Driven Technical Delivery Lead, Data Engineering
Lead a Python/PySpark team building a Trade Surveillance system using Gen AI to enhance productivity and quality while managing 30+ developers and automation engineers.
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.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, using PySpark, Spark, Hadoop, or Flink to turn raw data into reliable analytics assets.
AI & Data Engineering Architect — GenAI, AWS, Spark
Designs and builds scalable GenAI and data engineering pipelines on AWS using Python, PySpark, and Cloudera/Hadoop to productionize ML models and modernize enterprise data workloads.
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.