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Designs and maintains scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, and Python to power a company-wide Operational Data Store.
Leads a team to build and maintain a cloud-native Master & Reference Data platform (MDM/RDM) using Kafka, AWS services, and microservices, ensuring trusted, scalable data across Aviva’s business domains.
Leads a team to build and maintain a cloud-native Operational Data Store (ODS) using Kafka, AWS Glue, ECS, and containerized microservices, ensuring scalable, event-driven data pipelines for enterprise-wide data access.
Build and maintain data pipelines and models for a telecom company, using SQL, Python, and ETL tools to support analytics and AI initiatives.
About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US…
Senior backend engineer at Vanguard’s Hyderabad office building scalable, secure systems and integrating data/AI services using Java, Spring Boot, AWS, and Python.
Senior Data Engineer at Nike building internal data tools and pipelines for the Consumer Product & Innovation team using cloud-native technologies like AWS, Databricks, and Snowflake.
Designs and leads enterprise-scale Databricks Lakehouse platforms on Azure, AWS, or GCP, including governance, security, and AI/ML workloads, while migrating legacy systems and mentoring teams.
Maintain and troubleshoot AWS cloud infrastructure for a Federal Reserve System team, using Terraform, GitLab CI/CD, and observability tools to ensure resilient, secure enterprise systems.
Build and optimize data pipelines for vectorized financial data in Snowflake and Databricks, using Go, Python, and SQL to support AI-driven analytics and retrieval.
Design and lead the architecture of scalable, secure AWS-based platform infrastructure, integrating RPA, ERP systems, and downstream apps using API Gateway, Lambda, EKS, Terraform, and CI/CD pipelines.
Design and deploy secure, scalable AWS cloud infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, and Kubernetes, ensuring governance and observability for enterprise clients.
Design, build, and maintain secure AWS cloud infrastructure for a cybersecurity firm, using IaC tools like Terraform and Ansible to automate deployments and ensure compliance.
Design and implement Databricks-based Lakehouse and AI solutions for enterprise clients, integrating cloud platforms and driving end-to-end data pipelines and analytics.
Build and migrate financial data pipelines to AWS, design SOX-compliant dimensional models, and lead the modern data platform for Genesys’s AI-powered customer experience platform.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Lead a team building and scaling a Databricks lakehouse on AWS, designing bronze/silver/gold layers, resilient ingestion pipelines, and governance controls while mentoring engineers and driving adoption of AI-assisted engineering practices.
Lead a team building and optimizing scalable data pipelines on Databricks/AWS using Python/PySpark, ensuring secure, high-quality production code and operational stability for JPMorganChase’s financial systems.
Build and scale newsletter and content-delivery systems using Iterable, Arc, and React/Node.js to power personalized audience journeys and newsroom tools.
Program Manager to oversee Ohio State Genomic Health’s research initiative, coordinating cross-functional teams, managing REDCap databases, and driving recruitment and data-driven reporting for genomic screening programs.
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