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Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Data Engineer builds and migrates AML data pipelines in Databricks using PySpark, SQL (Teradata), and Python to centralize and process financial data.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Build and migrate AML data pipelines using PySpark and Databricks, centralizing financial data and modernizing ETL processes for a fintech client.
Build and migrate data pipelines for AML risk-analysis systems using Python, SQL (Teradata), PySpark, and Databricks to centralize banking data and enable analytics.
Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Build and migrate Java-based data pipelines to cloud platforms like Databricks and Snowflake, modernizing legacy ETL systems for enterprise clients.
Senior engineer building and optimizing Teradata’s cloud-based SQL engine, focusing on query processing, optimization, and distributed systems for large-scale data analytics.
Design and optimize a Teradata-based data warehouse using IBM Cloud Pak for Data, focusing on SQL, ETL, and performance tuning for large healthcare datasets.
Data analyst at Sberbank building models in SQL, Python, Hadoop and Excel to uncover business growth levers and present findings to stakeholders.
Design and maintain scalable data architectures for a global retail brand, ensuring governance, security, and alignment with business goals across analytics, AI, and customer systems.
Designs, builds, and optimizes ETL pipelines using IBM DataStage and migrates workloads to IBM Cloud Pak for Data, while developing SQL/BTEQ scripts for Teradata.
Build, train, and deploy ML/DL models (including LLMs) for clients, using Python, SQL, Spark, and cloud platforms, while following MLOps practices.
Designs and builds data pipelines, warehouses, and aggregations on Teradata and Big Data platforms, automating workflows with DevOps and CI/CD for a bank’s analytics team.
Builds and maintains data pipelines and APIs using Semarchy xDi, Spring Boot, and databases like Teradata and PostgreSQL.
Builds data pipelines and predictive models for EV-charging infrastructure in collective housing, analyzing consumption patterns and optimizing grid impact using Python, Spark, and PostgreSQL.
Design and maintain scalable data pipelines on Teradata and Big Data platforms for a major bank, then collaborate with data scientists to build and industrialize predictive models and AI-driven insights.
Builds and maintains data pipelines and APIs using Spring Boot, Teradata, PostgreSQL, and Hadoop ecosystem tools.
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