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Build and own data pipelines and BI models for a global FinTech firm, automating reporting and analysis using Python, SQL, and Power BI.
Build and maintain a real-time data platform that turns IoT sensor data from smart waste bins into dashboards and analytics, using Python/Node.js backend, modern frontend, and cloud services.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Architect and build scalable data pipelines for real-time OT data ingestion, time-series modeling, and secure data products in the oil & gas sector.
Senior Applied Data Scientist designs scalable data infrastructure and feature pipelines for AI models in Keysight’s test, measurement, and design workflows, using Python, SQL, Spark, and Snowflake.
Develop and maintain software for analyzing aerospace test data and migrating tools to a new time-series analysis platform for military applications.
Build streaming and batch data pipelines, govern schemas, and create self-serve tools for trading, wealth, and product teams using a lakehouse and time-series architecture.
Senior Data Engineer builds and maintains AWS-based pipelines for vehicle telemetry data, ensuring quality and scalability to power fleet analytics and ML models.
Build and optimize data pipelines for a fleet-management platform, processing vehicle telemetry with AWS and Databricks to power analytics and ML models.
Designs and maintains cloud data pipelines and analytics platforms for food/beverage plants using Azure, Databricks, and time-series databases to enable AI-driven insights and operational reporting.
Build and maintain a full-stack SaaS platform for IoT-based electrical grid monitoring using React, TypeScript, Node.js/Python, and AWS, ensuring security and reliability of real-time energy data.
Develop and maintain MATLAB/Python-based analysis tools for aerospace test data, integrating mathematical models for avionics, performance, and systems testing across Airbus programs.
Develop and maintain aerospace test-analysis software in MATLAB/Python, migrating legacy tools to a new Time Series Analysis Platform while collaborating with engineering teams.
Build enterprise-grade Python applications that power AI-driven finance tools, collaborating with data scientists to deploy ML models and cloud-native services.
Build and own streaming/batch data pipelines, lakehouse and time-series layers, and self-serve tooling for a crypto market maker’s trading, portfolio, and analytics needs using Python, SQL, Kafka, ClickHouse, and Terraform.
Build and operate geospatial analytics backend services in Python, integrating Neo4j and Databricks to process maritime data and deliver production-grade APIs and microservices.
Build and maintain scalable data pipelines and MLOps infrastructure for industrial AI solutions in mining, energy, and infrastructure sectors, deploying models in cloud/edge environments.
Build and maintain scalable data pipelines and MLOps workflows for industrial AI solutions in mining, energy, and infrastructure, deploying models in cloud/edge environments.
Build and maintain ETL pipelines, SQL data warehouses, and OLAP cubes for a pharma-industry platform that aggregates production-line data across multiple plants.
Builds an automated canary-analysis system for edge devices: ingests time-series telemetry, writes PromQL/MetricsQL queries, detects anomalies, and integrates with CI/CD pipelines.
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