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Maintain and optimize event-driven infrastructure using Kafka, NiFi, RabbitMQ, and Kubernetes, while automating operations with Bash and CI/CD tools.
Build and maintain data-driven platforms and automation solutions using Java, Python, Docker, and Kubernetes for enterprise-scale applications.
Builds the core conversational analytics platform for education, designing full-stack features that let non-technical users query data with natural language and AI-driven text-to-SQL.
Build and optimize ETL/ELT pipelines using Teradata, Informatica, and Spark to load and transform enterprise data for warehouses and MDM systems.
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Designs and maintains ETL workflows and data pipelines using Informatica PowerCenter, Python, Spark, and SQL for financial data processing.
Designs and maintains ETL workflows with Informatica PowerCenter and Python, builds Spark/Hive pipelines on HDFS, and optimizes SQL for Oracle/Teradata to support banking data platforms.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Build and maintain ELT pipelines, dbt transformations, and reporting-ready datasets for a healthcare-focused data warehouse using NiFi, dbt, and JMIX.
Design and build scalable ETL/ELT pipelines and real-time dashboards for industrial digitalization in oil & gas, petrochemicals, utilities, and manufacturing using Hadoop/Cloudera, PySpark, and BI tools.
Senior Data Engineer builds and operates scalable cloud/on-prem data architectures, pipelines, and models to store, integrate, and secure enterprise data assets for AI and analytics workloads.
Design and build Apache NiFi data ingestion and routing pipelines for high-throughput, low-latency delivery in remote-first environments.
Designs and maintains scalable big-data platforms using Hadoop, Spark, NiFi, and Kafka to process and structure global data streams on Linux clusters.
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
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