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Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Lead the design and build of scalable data pipelines that transform messy marketing data into clean, model-ready datasets for an AI-powered Marketing Mix Modelling platform.
Lead a team to design and build scalable data pipelines and models for a digital bank, using Python, SQL, DBT, Spark, and cloud-native tools to drive real-time insights and business decisions.
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Build and maintain secure, production-ready data pipelines and integrations to expand data usage across the organization.
Build and maintain production-grade data pipelines, integrations, and AI-enabled analytics for a modern estate-planning platform.
Build and maintain production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Build and optimize cloud data pipelines in Snowflake, orchestrate workflows with Airflow, and transform data using dbt to support enterprise analytics.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Builds BI dashboards, cleans data pipelines, and crafts low-code tools using SQL, Python, DBT, Fivetran, Sigma, and Hex to guide operations decisions at a logistics scale-up.
Senior Solutions Engineer designing data-pipeline solutions for enterprise clients, running demos and proof-of-value to close sales deals.
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Build and maintain a data platform using SQL, dbt, Python, and Snowflake to power analytics and AI-ready data flows for cross-functional teams.
Build and optimize real-time data models and pipelines using DBT, Materialize, Snowflake, and Kafka to power BI dashboards and streaming analytics for global clients.
Design and build scalable data pipelines and warehouses in Google Cloud to power analytics and business decisions, using SQL, Python, and ETL tools.
Design and maintain scalable data pipelines and warehouses in GCP, building ETL/ELT processes and SQL models to power analytics and decision-making for a global social-first marketing agency.
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Build and maintain data pipelines, dashboards, and AI-driven tools to inform logistics operations and ecommerce decisions using SQL, Python, and tools like DBT, Fivetran, and Hex.
Build and maintain scalable ETL/ELT pipelines in Snowflake using Python, SQL, dbt, and AWS to support enterprise data needs.
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