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Build and maintain the global data platform that powers Octopus Energy’s energy trading, forecasting, and risk operations using Python, SQL, Kubernetes, and AWS.
Build and maintain Pennylane’s data analytics platform, designing scalable ETL pipelines and data models to power company-wide decision-making for 900k+ SMEs and accountants.
Build and maintain data pipelines in Microsoft Fabric, centralize student, marketing, and LMS data into a secure lakehouse, and deliver Power BI dashboards for admissions, marketing, and academic performance.
Build and maintain ETL/ELT pipelines and data models to integrate and transform customer data, then load it into warehouses/lakes for analytics and BI tools like Power BI.
Build and optimize data pipelines for a fintech’s Data Lake using Snowflake, DBT, Pulumi, AWS, and Python, then deliver analytics via Power BI.
Build and optimize secure, scalable data pipelines and architectures for enterprise clients, translating business needs into robust data solutions while ensuring compliance and performance.
Build and maintain data pipelines in Microsoft Fabric, model insurance-brokerage data, and deliver clean datasets for BI, analytics, and regulatory reporting.
Builds and maintains data pipelines, warehouses, and lakes to integrate industrial systems (ERP, MES, IoT) and enable reporting, BI, and AI projects.
Build and maintain scalable data pipelines and architectures to feed AI/ML models, ensuring data quality and enabling automated model training and deployment.
Build and maintain data pipelines, warehouses, and BI dashboards to turn raw data into reliable insights for business decisions using Python, PostgreSQL, and Power BI.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
Build and maintain data pipelines, warehouses, and BI dashboards to turn raw data into actionable insights for public and private sector clients.
Designs, builds, and optimizes GCP-based data pipelines, Data Lake, and Warehouse for a strategic project, ensuring data quality and performance.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Build and optimize cloud data pipelines for an investment platform, integrating financial data sources like Bloomberg into a Databricks-based Lakehouse.
Build and maintain robust data pipelines and cloud architectures for a client, using Python, SQL, Airflow, and Kafka to ensure data quality and availability.
Design and build scalable data pipelines and architectures (Data Lake/Warehouse) for industrial clients using Python, SQL, and cloud/Big Data tools.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Lead the design and scaling of Alma’s data platform, integrating PostgreSQL with GCP, enforcing engineering standards, and enabling AI use cases while mentoring peers.
Design and build scalable GCP-based data pipelines, lakes, and analytics platforms for enterprise clients, using Python, Spark, and BigQuery to enable data-driven decision-making.
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