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Builds and tunes LLM pipelines, integrating documents from systems like SharePoint and REST APIs, and customizing model behavior for specific tasks.
Build and maintain Microsoft Fabric pipelines and data models using PySpark, following medallion architecture to deliver scalable analytics solutions.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and maintain data pipelines, models, and dashboards for enterprise clients using Python, SQL, PySpark, Snowflake, and Databricks.
Build and maintain AI-driven data pipelines using Python, SQL, dbt, and GCP tools like BigQuery and Cloud Composer for scalable analytics and ML workflows.
Senior Data Engineer builds and maintains AWS-based ETL pipelines, transforming raw data into clean, analytics-ready datasets for product, ML, and analytics teams.
Designs and builds scalable cloud data pipelines and analytical platforms using SQL, Python, Spark/PySpark, and GCP tools.
Design and migrate on-prem data pipelines to AWS using Glue, Redshift, EMR, and Python; automate workflows with Airflow and monitor with CloudWatch/Kibana.
Senior DevOps Engineer building and scaling Azure-based data platforms for P&G’s ESG initiatives using Python, PySpark, Databricks, and Power BI to drive sustainability analytics.
Build and optimize scalable data pipelines and cloud-native apps using Snowflake, Databricks, Python and SQL to power reporting, analytics and operational processes for financial clients.
Build and maintain data pipelines for analytics, using Python, PySpark, SQL Server, and Azure Data Lake to support travel-industry decision-making.
Build and deploy large-scale ML systems to optimize ad delivery and revenue, collaborating with product and engineering teams in a remote-first environment.
Build and scale predictive/prescriptive analytics and ML models for a global biopharma company using Python, PySpark, SQL, and Palantir Foundry.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Lead a team to design and build scalable data pipelines using PySpark, AWS, and Databricks for enterprise clients.
Lead a remote team to design and build scalable data pipelines using Python, PySpark, SQL, AWS, and Databricks, mentoring engineers and solving enterprise data challenges.
Build and maintain scalable data pipelines and ML feature stores for industrial intelligence, using Spark, Python, and Databricks to turn automotive and supply-chain data into real-time insights.
Build and scale large-scale ETL/ELT pipelines using Databricks, PySpark, and AWS for global enterprise clients.
Build and maintain Sun Life’s data pipelines and warehouses, ensuring reliable data for analytics, marketing, and business insights using AWS, Snowflake, Python, and PySpark.
Build and maintain Azure-based data pipelines and ETL workflows using Data Factory, Databricks, and Synapse for a hybrid on-site role in Markham.
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