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Build and deploy ML models and ETL pipelines in Python/SQL to optimize freight logistics, partnering with data scientists and business teams.
Design and implement real-time data replication pipelines using Qlik Replicate, configuring CDC and managing hybrid cloud/on-premise data flows.
Build and optimize enterprise-scale data models and pipelines using dbt, Snowflake, and SQL for a leading travel and tourism client.
Build and maintain large-scale data pipelines using Azure Databricks, PySpark, and SQL to process TB-scale datasets for a multinational insurance provider.
Designs and builds Salesforce Data Cloud pipelines, integrating CRM and external systems to create unified customer profiles and activation workflows.
Designs and maintains Azure Fabric data pipelines using the Medallion pattern, transforming raw data into analytics-ready datasets for Power BI Embedded reports.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build production-grade AI systems for cost estimation, optimization, and decision support using LLM-powered apps and MLOps pipelines on Databricks, Snowflake, and cloud platforms.
Design and deploy scalable data pipelines and governance frameworks for AI/ML and BI solutions using Spark, Hadoop, Kafka, and SQL.
Designs and builds scalable Azure Databricks data pipelines for reliable, governed ETL/ELT and real-time data integration to support analytics and reporting.
Lead hands-on ETL and data-migration projects, designing pipelines, writing SQL/Python, and guiding clients through legacy-to-target migrations until go-live.
Lead pharmaceutical manufacturing processes, technical transfers, and process improvements for GSK’s site, ensuring compliance with GMP and EHS standards while managing teams and site KPIs.
Designs, builds, and optimizes scalable ETL pipelines and data models to feed business intelligence and reporting systems using Python and SQL.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Build and maintain Airflow-based data pipelines and orchestrations for a large insurer, using Python, Snowflake, and AWS services.
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
Lead a team to design and build scalable data pipelines on GCP using Java and SQL, mentoring engineers and collaborating with stakeholders.
Design and build AWS-based data platforms, including data lakes, warehouses, and pipelines, while providing architectural oversight and ensuring security and cost optimization.
Design and implement scalable data pipelines and data lakes using Python or Scala, ensuring optimized data delivery for analysis.
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