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Build and maintain data pipelines, develop dashboards, and deliver insights using Python, SQL, Hadoop, and Power BI for a major bank.
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Designs and maintains enterprise-scale ETL pipelines, data warehouses, and BI reports using SQL, Power BI, and dimensional modeling to support analytics and data-driven decisions.
Designs and maintains ETL pipelines, data warehouse architecture, and SSAS/Power BI models for a financial/insurance company’s BI systems.
Senior Data Scientist builds ML models and analyzes data to drive business decisions, collaborating with teams to translate insights into strategy.
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Designs, deploys, and maintains scalable cloud databases using SAP HANA, Kafka, and Kubernetes, automating with Ansible/Terraform and supporting 24/7 operations.
Design and optimize Apache Hive SQL-based data warehouse solutions on Hadoop, tuning queries and managing data partitioning for enterprise-scale integrity.
Designs and maintains scalable big-data platforms using Hadoop, Spark, NiFi, and Kafka to process and structure global data streams on Linux clusters.
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Builds and maintains big-data pipelines and APIs using Python, Spark, Kafka, Hadoop, and SQL to process and analyze large datasets for IBM clients.
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Design and deploy scalable data pipelines and governance frameworks for AI/ML and BI solutions using Spark, Hadoop, Kafka, and SQL.
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Builds and maintains automated data pipelines using Spark, Kafka, Airflow, and cloud platforms like Azure or AWS to integrate and process large-scale data for AI-driven analytics.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Lead a team to build and optimize scalable data pipelines using Snowflake, Databricks, and Kafka, ensuring security, governance, and performance for a global fast-food company.
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