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Leads the migration of an on-premise data warehouse to the cloud, auditing existing systems, designing scalable cloud architectures, and guiding teams through implementation and documentation.
Lead a team to design data pipelines and integrate GenAI systems for AI workflow projects in a regulated healthcare environment using Snowflake and AWS.
Lead Data Engineer building scalable, reliable data pipelines in Snowflake using SQL, Python, and DataOps practices to ensure high-quality, observable data flows for analytics.
Lead a team to design, build, and maintain robust data pipelines and architectures for enterprise clients, using SQL, Python/Java/Scala, Kafka, and cloud/big-data stacks.
Leads a team to design and deploy robust data pipelines and distributed architectures using SQL, Kafka, and ELK, while mentoring junior consultants.
Senior Data Engineer designing and building cloud data pipelines and warehouses on GCP using BigQuery and Dataflow for a consulting team.
Lead a data engineering team to build robust Python and Spark-based data pipelines and infrastructure, leveraging PostgreSQL and guiding technical decisions in a hybrid work setup.
Leads data engineering squads building scalable data pipelines and ML-ready architectures for enterprise clients using Spark, Kafka, and cloud platforms like Azure Databricks and AWS.
Leads Microsoft Fabric-based data-platform modernization for enterprise clients, designing architectures and mentoring teams.
Senior Data Engineer builds and optimizes cloud-based ETL pipelines for large banking clients, mentors junior engineers, and modernizes legacy data architectures.
Lead a team to build, optimize, and maintain modern data pipelines using DBT and SQL, ensuring reliable, scalable data infrastructure for enterprise clients in finance, healthcare, mobility, and climate sectors.
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
Lead a team to design and build data pipelines and AI solutions using Microsoft Azure and Power BI for a climate-tech company.
Lead Data Engineer designs and enforces data-pipeline standards using SQL and Python to ensure scalable, reliable data platforms for modern data projects.
Leads a team to build and maintain reliable, high-performance Snowflake-based data pipelines using SQL and Python, ensuring data quality and cost efficiency.
Lead a team of data engineers to build scalable data pipelines and cloud infrastructure (AWS/GCP/Azure) using Spark, Kafka, and Terraform, while collaborating with data scientists to industrialize models.
Design and build robust cloud data architectures on Microsoft Fabric and Azure for enterprise clients, from ingestion to production, using Data Vault 2.0, Azure Data Factory, Synapse, and Data Lake.
Lead Data Engineer designing Snowflake-based data architectures and dbt pipelines for enterprise clients, modernizing data infrastructure and optimizing data flows.
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