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Builds and maintains scalable platforms, designing APIs and services while working across frontend and backend stacks using modern tools like React, AWS, and Docker.
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Builds Python-based data pipelines and AI/ML integrations for life-science labs, translating assay workflows into Benchling, AWS, and FastAPI services while ensuring regulatory compliance.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Build AI agents and integrations that connect DevRev’s platform with customers’ tools using TypeScript, Python, and APIs; deploy serverless functions and optimize RAG pipelines for real-time workflow automation.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Senior Data Engineer builds and operates AWS-based financial data platforms, cloud infrastructure, and AI agents for accounting automation, while directly engaging with clients to design and deploy solutions.
Senior Data Engineer builds and scales real-time data pipelines on AWS to process grid sensor data, enabling utilities to meet rising electricity demand from AI data centers and electrification.
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
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