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Build and scale a cloud-based data platform for FGF’s EV rental and marketplace, designing pipelines, ETL/ELT, and DevOps for analytics and AI use cases.
Build and maintain scalable ETL pipelines and data flows using Python, PySpark, and SQL to support real-time and offline analytics for a large-scale brewery.
Design and build cloud-native data pipelines on GCP, enabling AI/ML initiatives and analytics for a global banking team using PySpark, Airflow, BigQuery, and Vertex AI.
Lead a backend and data engineering team to build a zero-hallucination RAG platform, designing scalable data pipelines, APIs, and distributed workflows using Python, Apache Beam, FastAPI, and Temporal.
Lead the backend and data engineering for a zero-hallucination RAG AI platform, building scalable data pipelines and APIs that fuse vector search with deterministic graph topology.
Lead backend and data engineering for a zero-hallucination RAG platform, building data ingestion pipelines and APIs that power a deterministic Truth Engine for AI agents.
Build and run a distributed data platform handling ingestion, processing, and governance for ML/AI workloads using JVM, Kafka, and Kubernetes.
Build and maintain high-performance data pipelines in Scala and Spark to process petabyte-scale datasets and deliver real-time analytics for enterprise clients.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Builds and maintains scalable data pipelines using Scala, Spark, and cloud storage to power analytics for a global tech company.
Build Python backend services and APIs for renewable energy trading systems, integrating with PostgreSQL, AWS, and messaging systems like MQTT/RabbitMQ.
Design and build cloud-native and on-premise data pipelines using Spark, Kafka, and cloud platforms to ingest, process, and analyze large datasets for enterprise clients.
Build and operate a cloud-native data platform on Snowflake and public cloud, owning provisioning, ingestion pipelines, transformations, governance, and cost-efficient scaling for analytics across the travel-tech company.
Lead a team to design and operate enterprise-scale data pipelines, integrations, and governance for ABB’s Digital Engineering CoE, enabling trusted data for Digital Twins, knowledge graphs, and sustainability platforms.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Build and maintain scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and reporting for a specialty insurance firm.
Build full-stack MERN apps with TypeScript, integrate RAG pipelines and LLM services, and deploy on AWS/GCP.
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
Build and maintain scalable data pipelines and AI models for a fintech company, ensuring robust data ingestion and analytics infrastructure.
Design and build real-time data pipelines and ML models on Microsoft Fabric to analyze shipping logistics data, using Python, PySpark, and Azure services.
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