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Build and maintain The Guardian’s Android apps using Jetpack Compose, Coroutines/Flow, and MVVM, while collaborating across teams and leading projects.
Builds and maintains Azure-based data pipelines and ELT/ETL processes using Azure Data Factory, Synapse, and Fabric to deliver clean datasets for analytics and reporting.
Build and maintain high-performance, resilient backend services in Scala for a critical market-infrastructure platform on AWS, using Kafka, Kubernetes, and event-driven patterns.
Design and build scalable data lakes, warehouses, and pipelines using Python, SQL, and cloud platforms to power analytics and reporting for a financial-services company.
Designs and maintains scalable AWS-based data pipelines using SQL, Spark, Kafka, and Python to process large datasets and deliver analytics for business insights.
Build and maintain a secure national authentication platform using Java, cloud tools, and DevOps practices to ensure reliable access for healthcare professionals.
Build and maintain Java-based solutions for clients, using Spring, cloud platforms, and AI tools while collaborating in cross-functional teams to drive digital transformation.
Build and maintain Java-based solutions for clients, leveraging Spring, cloud platforms, and AI tools to deliver scalable, secure systems and drive digital transformation.
Design and deliver enterprise analytics solutions on Azure and Databricks, mentor teams, and advise clients on data-driven decisions.
Senior Data Engineering Consultant builds and optimizes data pipelines using PySpark and Databricks, delivers Power BI dashboards, and advises clients on cloud data solutions across Azure, AWS, and GCP.
Consultant builds and delivers SAS-based data pipelines and analytics solutions for clients, using SQL, cloud platforms, and BI tools.
Lead the design and delivery of cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance operations.
Lead a team engineering cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance systems.
Principal Data Engineer designs scalable cloud-native data platforms and leads technical direction for Very’s data transformation, using AWS, Python, and SQL.
Builds and maintains data pipelines using Azure Data Factory, Databricks, and Scala, ensuring reliable data flows for downstream analytics and AI workloads.
Design and build enterprise-scale data platforms using cloud services, Python, Spark, and modern data tools to enable AI-driven analytics and business transformation.
Build and enhance AI-powered Order-to-Cash SaaS features using Java, APIs, and PostgreSQL, collaborating across teams to deliver secure, scalable solutions for large enterprises.
Lead cloud-native data engineering on AWS and Databricks, building Spark/Scala pipelines and AI-enabled analytics while mentoring engineers and aligning with enterprise governance.
Design and build scalable data platforms for clients using Azure, Databricks, and Microsoft Fabric, focusing on analytics and AI solutions while mentoring peers.
Data engineering consultant designs, builds, and optimizes data pipelines and analytics solutions using Databricks, PySpark, and Power BI for enterprise clients.
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