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Analytics Engineer: Build Trusted Fintech Data Pipelines
Build and scale trusted data pipelines for a fintech product, modeling credit, payments, and fraud/AML data with CI/CD and data governance.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS
Design and build scalable data pipelines and AI-ready platforms using Python, SQL, Snowflake, and cloud tools to deliver analytics and GenAI solutions for clients.
Data Engineer (Azure Data Platform) + Informatica
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Data Engineer (Azure Data Platform) + Informatica
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
Expert Data Engineer with GCP
Build and maintain scalable data pipelines and ETL/ELT processes using Python, Apache Airflow, Spark, and GCP services like BigQuery and Cloud SQL for HSBC’s data platform.
Senior Data Engineer On-Premises Data Platforms
Design and maintain enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Data Engineering Lead, Medical Data Foundation
Lead data engineering efforts to capture, govern, and analyze medical data, partnering with IT and medical teams to enable AI-driven insights for AstraZeneca.
Senior Data Engineer (Team Lead)
Lead a remote team building scalable data pipelines with Kafka, Spark, and Hadoop, mentoring engineers and optimizing cloud data platforms like BigQuery.
Data Engineer | FCU Technology Team
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake, and Python to support anti-financial-crime analytics and reporting for global PwC clients.
Senior Fabric/Data Engineer | SB
Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
Senior Data Platform / Data Engineer
Build and scale Straumann’s AI data infrastructure, focusing on a Data Lakehouse, dataset versioning (DVC), and reliable pipelines that power dental AI products.
Lead Data Engineer (Spark) @ Addepto
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.
Senior Data Engineer (Spark) @ Addepto
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.
Databricks Architect (Data Engineering) @ Spyrosoft
Design and lead modern Databricks-based data platforms, setting architecture standards and best practices for scalable, secure data solutions.
Data Engineer (Spark) @ Addepto
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
Data Engineer (Databricks) @ Addepto
Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
Data Engineer Azure @ Connectis_
Build and maintain a global enterprise data platform in Azure, designing ETL/ELT pipelines with PySpark and Databricks to support reporting, analytics, and financial processes worldwide.
Senior Azure Data Engineer
Senior Azure Data Engineer designs and builds scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to support real-time and batch processing for global IT systems.
Junior People Data Engineer
Build and maintain HR data pipelines in Microsoft Fabric, transforming raw HR data into clean, analytics-ready datasets using SQL, Python, and PySpark.