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Builds web and mobile apps for an agri-tech platform, focusing on geospatial data, precision agriculture, and cloud infrastructure using React, TypeScript, and AWS.
Leads large-scale Java-based ETL pipelines for enterprise data migration and transformation, requiring deep Java expertise and cloud/containerization skills.
Design and build enterprise-scale graph data platforms using TigerGraph on AKS Kubernetes to power fraud detection, financial crime analytics, and customer intelligence with graph-based ML and real-time analytics.
Designs and maintains petabyte-scale cloud data pipelines on Azure and Databricks, ensuring governed, low-latency data products for analytics and AI workloads.
Designs and builds secure, scalable Azure data pipelines and platforms using Ab Initio, Databricks, and PySpark to power analytics and AI.
Designs, builds, and maintains Azure-based data pipelines and lakehouse architectures using Databricks, Synapse, and Data Factory to deliver clean, reliable datasets for analytics and AI.
Design and maintain scalable ETL pipelines, data warehouses, and real-time streaming solutions using SQL, Python, and cloud platforms like AWS/Azure/GCP.
Design and maintain scalable data pipelines to process and transform raw data into actionable insights for businesses.
Designs and maintains ETL pipelines and SQL queries to integrate data across enterprise systems for a large mining company’s SAP project.
Senior data engineer building scalable Google Cloud and BigQuery pipelines in Python/SQL to turn raw data into reliable analytics products.
Builds and improves scalable ML models and data pipelines for retail analytics, working with stakeholders across the Lightstone Group.
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
Build and maintain scalable data pipelines and ETL/ELT processes using Python, SQL, and cloud platforms (AWS/Azure) to support analytics and AI-driven products.
Build and maintain scalable data pipelines and warehouses for analytics and ML, integrating multiple sources using Python, SQL, and cloud tools.
Designs and maintains scalable data pipelines using Python, SQL, Spark, and Azure tools to feed analytics and AI systems.
Designs, builds, and secures data pipelines and warehouses for banking systems using SQL, Python, Spark, and APIs.
Build and optimize cloud data pipelines on GCP to deliver reliable, scalable analytical datasets for analysts and data scientists using BigQuery, Python, and SQL.
Build and maintain data pipelines for financial analytics in a gaming company, ensuring reliable real-time and batch processing for payments and reporting using SQL, Python/Java, and streaming tools like Kafka.
Designs and maintains AI-ready data pipelines, feature stores, and curated datasets to power machine learning models, generative AI, and real-time analytics using cloud-native tools.
Designs and builds secure, scalable APIs (REST/SOAP) for data exchange, integrates systems with third-party services, and ensures compliance and performance using Azure and Python.
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