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Leads AI architecture and full-stack development for generative and agentic AI solutions, delivering enterprise-scale implementations for insurance, healthcare, and banking clients.
Builds and maintains ETL pipelines using Python and Azure Synapse Analytics to move and transform data for clients.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate data for analytics and reporting.
Builds and optimizes data pipelines using Python, Spark, and cloud services to support business processes and digital transformation.
Builds and modernizes a global restaurant menu platform using TypeScript, Node.js, NestJS, and React, with AI-assisted development in an Agile workflow.
Builds and modernizes a menu platform backend with Node.js/NestJS and frontend with React, migrating pricing, promotions, and ordering systems in a collaborative, AI-assisted Agile environment.
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Builds enterprise applications using Java, Spring Boot, and Liferay, with Angular/React frontends and REST APIs, deployed via CI/CD pipelines.
Design and maintain ETL pipelines using Python and Azure Synapse Analytics to integrate and process data for clients.
Designs and builds secure, cloud-native transaction platforms using full-stack development, APIs, and automated testing to support financial operations.
Lead a data engineering team to migrate from Snowflake on AWS to Azure Databricks and DBT, architect secure pipelines, and implement Terraform infrastructure-as-code with CI/CD workflows.
Builds and maintains secure, scalable web apps using Node.js and React/Next.js, designs databases, and implements APIs with PostgreSQL/MySQL in a cloud-native CI/CD workflow.
Senior Java backend engineer modernizes legacy systems, maintains client-facing APIs, and builds AWS-native data pipelines for a global outsourcing firm.
Leads a nearshore team building web and mobile healthcare solutions using Python Django, React, and cloud services while coordinating with PMs and QAs.
Designs and maintains real-time data pipelines and BI systems using SQL, Snowflake, DBT, and Kafka to deliver analytics for a global client base.
Build full-stack apps and APIs for internal tools that power media and marketing workflows, enabling data-driven decisions across global teams.
Builds and maintains cloud ETL pipelines and analytics for sports and entertainment projects, integrating cloud/on-prem data into scalable warehouses and BI dashboards.
Builds and maintains dbt models to transform raw data into clean, reliable analytics in a data warehouse using SQL and software engineering best practices.
Build full-stack features with React/Next.js frontends and Node.js backends, connecting interfaces to server logic and deploying on AWS.
Architect and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and ensuring data reliability with Python, Airflow/Prefer/Dagster, and CI/CD.
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