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Designs and maintains scalable data pipelines and infrastructure using Python, SQL, Spark, and cloud platforms to enable analytics and AI workloads.
Build and maintain data pipelines for a migration to SAYVINT, using Airflow and Dataiku on AWS to integrate and cleanse application data.
Build and maintain Snowflake data pipelines for clients, collaborating with analysts and scientists to turn business needs into robust technical solutions using SQL, Python, and orchestration tools.
Build and migrate data pipelines from Hadoop to cloud, automate workflows with Airflow, and process large datasets using Spark, Scala, and Python for a banking client.
Designs and maintains enterprise ELT pipelines and data models using Snowflake, dbt, and Airflow to power analytics, reporting, and AI across the organization.
Design and maintain robust data pipelines, ensuring data quality and integrity while collaborating with clients to optimize cloud infrastructures using Hadoop, Spark, Kafka, and Airflow.
Builds and secures cloud data pipelines on Databricks and Google Cloud using Python, SQL, Scala, and Airflow to optimize partner solutions.
Design and build robust, maintainable cloud data pipelines using Python, SQL, dbt, and Airflow for a data platform.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build, deploy, and run cloud-based projects using Linux, Jenkins, Terraform, and Ansible; document workflows in Confluence and track tasks in JIRA.
Build and maintain secure Kubernetes-based platforms for defense and security clients, automating deployments with Java/Python, Terraform, and Ansible while ensuring data quality and compliance.
Build and maintain scalable MLOps and DevOps infrastructure to deploy, monitor, and scale ML/AI models in production for a digital marketing platform.
Builds and runs cloud-based data pipelines and analytics platforms using GCP/AWS, Spark, Python, and Terraform to support internal decision-making and high-traffic services.
Build and maintain infrastructure using IaC and GitOps; automate deployments with Terraform and Airflow while collaborating with engineering teams.
Maintain and evolve a large-scale data platform using DevOps practices, CI/CD pipelines, Kubernetes, and cloud tools like AWS/Azure.
Build and maintain automated infrastructure pipelines using Terraform, Ansible, GitOps and VMware Cloud Foundation to provision VMs, Kubernetes, databases and networking.
Build and maintain scalable data pipelines in Python and Airflow on Google Cloud Platform, focusing on ETL/ELT, data modeling, and reliability for a modern data stack.
Build and maintain scalable backend services and data pipelines for a home-improvement group, using Python, FastAPI, Airflow, Snowflake, and PostgreSQL.
Build and maintain scalable backend APIs and data pipelines for a home-improvement group, using Python, FastAPI, Airflow, Snowflake, and PostgreSQL.
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