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Lead QA Engineer designs and maintains automated test frameworks for data platforms, ETL pipelines, and backend systems using Python, Pytest, and CI/CD.
Build and scale distributed data-processing services handling 7PB/day and 5 trillion records daily using Java, Spring, Kafka, and Kubernetes on AWS/Linode.
Designs and builds ETL/ELT pipelines, REST APIs, and web apps using Google Cloud, BigQuery, Airflow, Python, .NET, and React.
Builds and maintains scalable cloud-based data platforms for a fintech asset management firm, focusing on Kubernetes, AWS, and IaC to ensure reliable, secure data services while collaborating with engineering teams.
Build and maintain real-time data pipelines using Apache Kafka, Kafka Streams, and kSQL, integrating systems with Kafka Connect and Spring (Boot, Cloud, Security, Data).
QA role ensuring data quality for investment-banking platforms built on Databricks, Azure and Spark, designing tests for ETL/ELT pipelines and validating data transformations.
Builds and maintains real-time data pipelines using Apache Kafka, Kafka Streams, and Kafka Connect in a B2B-focused product team.
Designs and governs data architecture for global engineering platforms, analytics, and AI initiatives, creating reusable data models and integration patterns to improve engineering productivity and product lifecycle visibility.
Build and maintain distributed data-processing services and observability tools for Akamai’s large-scale infrastructure, collaborating with SREs and product teams.
Data QA Engineer ensures data quality on Databricks, Azure, and Spark platforms for investment banking analytics, risk management, and regulatory reporting.
Senior Data Engineer builds and maintains scalable ETL pipelines and distributed data infrastructure using Python, Spark, AWS, and GCP.
Build and maintain cloud-based data pipelines and analytics solutions while learning from EY mentors in a structured internship program.
Builds and maintains data pipelines, REST APIs, and web apps using GCP, BigQuery, .NET, Python, and React, with ETL/ELT and Cloud Composer workflows.
Designs and runs tests for data pipelines and Snowflake data warehouse to ensure accuracy and consistency of enterprise data platforms.
Designs and runs tests for data pipelines and validates Snowflake data warehouses to ensure enterprise data accuracy and reliability.
Builds and maintains scalable data pipelines on Google Cloud Platform using BigQuery and Airflow, integrating diverse data sources, implementing CI/CD, and collaborating with analytics/product teams to ensure high-quality data solutions.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Build and maintain large-scale data pipelines using Spark, Scala/Java, and Python for financial data processing across global teams.
Senior Data Engineer builds and optimizes scalable GenAI data pipelines using Python/Java, Spark, Databricks, and Snowflake in a fast-paced Warsaw team.
Build and maintain large-scale data pipelines using Spark and Scala for financial clients, collaborating with global teams to deliver robust big-data solutions.
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