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Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Build and maintain scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot to power ING’s data lake for analytics and compliance.
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Build and optimize large-scale data pipelines for automotive and aerospace clients using Spark, Airflow, and cloud platforms to enable real-time analytics and ML-driven insights.
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Builds and optimizes distributed data pipelines using Apache Spark (Python/Scala) to process large datasets for enterprise clients.
Senior Data Engineer builds, optimizes, and maintains high-volume data pipelines in GCP and on-prem using Python, PySpark, ETL tools, and Rust for performance-critical components.
Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Build and maintain Java-based backend systems, automate deployments with CI/CD, and migrate legacy codebases while ensuring system stability.
Senior Data Engineer builds scalable ETL pipelines to migrate enterprise data into Workday using Snowflake, Python, SQL, and NiFi, ensuring high data quality in a large-scale cloud migration program.
Build and maintain data pipelines, ETL/ELT workflows, and AI/ML deployments to support naval in-service support programs using Python, Airflow, and modern data architecture.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Leads a team building scalable data platforms on Azure/AWS, using Spark, Hadoop, and Airflow to power enterprise analytics and AI solutions.
Senior DevOps Engineer designs and operates Scotiabank’s cloud data platform using GCP, Kubernetes, Kafka, and Elasticsearch, ensuring reliability, security, and compliance for regulatory workloads.
Senior Data Engineer builds and optimizes PostgreSQL-based analytics pipelines, writes SQL/PLpgSQL code, and designs ETL/ELT flows for BI systems.
Builds and maintains ETL pipelines, data models, and AI services for a gold-mining company’s digital solutions using PostgreSQL, ClickHouse, Airflow, and NiFi.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Designs and maintains scalable data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and big data tools.
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