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Build and maintain a modern data platform for portfolio managers and quants, including ingestion, ETL, and APIs using Python, SQL, and distributed systems.
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Build and optimize a modern cloud-first data ecosystem for a fintech retailer, using Azure, Databricks, and PowerBI to create analytics and reporting solutions that drive operational efficiency and compliance.
Lead backend engineering teams to build cloud-native, data-driven platforms and APIs for a global credit ratings and financial data provider, using Java/Spring Boot, Python, and AWS.
Leads data-governance transformation for a bank, designing policies, procedures, and roles to ensure data quality, security, and compliance across business and IT stakeholders.
Build and own scalable ETL pipelines and data warehouses for a hospitality workforce-management SaaS, using AWS Glue, Airflow, Spark, and modern lakehouse formats.
Lead a team building and optimizing an S3-backed OLAP data lake and ETL pipelines for a marketing analytics platform using Airflow and AWS.
Lead a team to design and maintain scalable OLAP pipelines on AWS, using Airflow for orchestration and S3-backed data lakes for marketing analytics.
Builds and maintains a modern data lakehouse and cloud pipelines using Python, REST APIs, and cloud services to enable AI and analytics workloads.
Builds and maintains data pipelines, warehouses, and AI-driven solutions using Python, SQL, and cloud tech to support analytics and ML workflows.
Senior Data Engineer at Bureau to design and own the cloud data lake and streaming pipelines that power real-time fraud detection and identity intelligence products using AWS, Spark, Airflow, and graph databases.
Build and maintain the data infrastructure (Data Lake, ETL/ELT pipelines) for an edtech startup, automate reporting with Tableau/Snowflake, and enable self-service analytics for sales and CSM teams.
Build and maintain Databricks-on-Azure pipelines and dashboards that turn industrial manufacturing data into KPIs and insights for R&D, quality, and production teams.
Build and maintain scalable back-end services in Python/Go for fraud-prevention and compliance analytics, using distributed architectures, APIs, and cloud infrastructure.
Consultant designs and implements SAP-based analytics solutions (SAC, Power BI, HANA, Datasphere) and cloud data platforms (Azure, Snowflake, Databricks) for BI and Data Science projects.
Consultant builds and advises on BI, analytics and data-warehouse solutions using SAP BW/HANA, Azure, Snowflake and Python/SQL.
Build and maintain the bank’s central analytics platform, optimizing Exasol/Starburst databases and Kubernetes-based data lakes to deliver reliable data services for internal and external finance partners.
Owns go-to-market strategy and campaigns for DoiT’s data platform optimization business, targeting Snowflake and data-lake workloads to drive pipeline and revenue.
Build and maintain scalable data pipelines, integrate diverse data sources, and support analytics teams with ETL processes and statistical analysis using Python/R and cloud tools.
Build and optimize robust data pipelines and Big Data architectures using Python, Spark/Scala, SQL/NoSQL, and cloud platforms to ensure reliable data availability for analytics and decision-making.
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