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Build and maintain backend APIs for a real-time delivery platform, handling high-traffic systems with Java/Spring, AWS, and Kafka to optimize logistics operations.
Analyze and model business data for clients using Excel, SQL, Python, and SAS; build reports and automate processes with VBA and BI tools.
Analyze and model business data for clients using Excel, SQL, Python, and SAS; build reports and automate processes with VBA and cloud tools.
Analyzes healthcare system needs, designs solutions, and validates implementations for clinical applications and hospital workflows.
Build and maintain automated test suites in Java, Python, Playwright and Selenium to validate financial-screening software, integrating with CI/CD pipelines and collaborating with teams in Mumbai and New York.
Leads end-to-end delivery of data engineering projects for Fortune 500 clients, coordinating with stakeholders and engineers to align data strategy and remove blockers.
Design and build scalable cloud-native data pipelines and platforms (batch/streaming) using Python, Spark, Kafka, and cloud data warehouses to power analytics and ML across global telco markets.
Owns the product roadmap for Salesforce’s data-integration tools, gathering requirements from customers and partners to define specs for engineering, UX, and go-to-market teams.
Design and implement Rockwell PharmaSuite MES solutions for life-sciences manufacturing, integrating with ERP/PLM and automating production processes.
Design and build Qualys’ next-gen, SaaS-based cloud security data platform handling 100M+ transactions and terabytes of data daily using Cassandra, Kafka, Elasticsearch, Spark, Redis, and Java.
Lead a team building automated cloud security tools that evaluate infrastructure configurations in real time across AWS, GCP, and Azure to block non-compliant resources before they reach production.
Lead a team building full-stack cloud services in Python, Java, and PySpark/Spark on AWS to maintain and improve financial decisioning systems that determine customer eligibility for credit products.
Build and maintain the backend platform that orchestrates global money transfers, integrating with external banking and payment partners while ensuring system reliability and compliance.
Design and optimize a Snowflake cloud data platform, build ELT pipelines, and enforce data governance to support analytics and AI initiatives.
Design and lead a cloud-based data architecture on GCP for regulatory reporting, using Java, Kafka, Spark/Flink, and BigQuery to build scalable event-driven and batch pipelines.
Design and develop complex systems for clients using Java Spring Boot, event-driven architectures (Kafka), and Azure cloud, with hands-on work in AI agents and GenAI tools.
Analyzes database and data-store security risks (RDBMS, NoSQL, object storage, permissions) to identify and prioritize exploitable exposure conditions that could lead to unauthorized data access or exfiltration.
Lead backend engineering teams to build cloud-based financial systems using Java, Scala, and AWS, ensuring regulatory compliance and empowering millions of customers.
Lead backend engineering teams building cloud-based financial systems using Java, Go, and AWS to meet regulatory and customer needs.
Build cloud-based microservices for Genesys’s AI-powered customer-experience platform, using Go, TypeScript, AWS Lambda, and Redis to scale millions of daily interactions.
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