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Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Build and maintain full-stack e-commerce systems using Java/Spring, MySQL, NoSQL, Kafka, and cloud data tools while collaborating across global teams.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.
Lead a team of data engineers to build and optimize large-scale data pipelines and cloud-based platforms using Python, Spark, and Databricks for analytics and ML workloads.
Lead a team building and optimizing large-scale data pipelines and cloud-based platforms for analytics and AI, using Python, Spark, Databricks, and cloud-native tools.
Design and build a scalable data platform and analytics suite using Python/Scala, Spark, Hadoop, and cloud tools to power APIs and insights for customers.
Builds and maintains robust data pipelines using Python/Scala, Spark, Hadoop, and SQL to enable reliable data products and analytics workflows.
Builds and maintains core data infrastructure using Java, Python, and tools like HBase, Hadoop, and Redis, while handling DevOps/SRE tasks across thousands of servers.
Builds and maintains data infrastructure and SRE tooling using Java, Python, Django, Dropwizard, HBase, and Hadoop in a cloud environment.
Build scalable streaming and aggregation systems for payment networks, migrating Java services to Go and modernizing backend architecture.
Builds and maintains scalable data pipelines and warehouses using SQL, Python, Java, Hadoop, and Redshift to power analytics and customer-facing features.
Designs secure, scalable AWS-based data platforms and AI solutions for APAC clients, ensuring compliance and measurable business outcomes.
Build and deploy large-scale AI solutions for Microsoft’s enterprise customers, using Python/C++ and cloud platforms to analyze data and deliver Responsible AI outcomes.
Designs and maintains data pipelines, warehouses, and analytics infrastructure using SQL, Python, and AWS services to support reporting and modeling for clients.
Provide Java application support, debug issues, automate alerts, and improve stability for enterprise clients across industries like BFSI and healthcare.
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