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Builds and maintains data pipelines for LLM-powered financial applications using SQL, Python, Airflow, and cloud tools.
Build and maintain data pipelines, automate integrations, and help scale a cloud data warehouse for a grid-scale energy storage company using Python, SQL, and cloud services.
Build and maintain reliable data pipelines for a global fintech, powering trading decisions, compliance, and AI systems with real-time accuracy and governance.
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Lead a team to design, build, and maintain a reliable data platform using Databricks, DBT, and Airflow for analytics and self-service BI across the GAC Group.
Build and maintain scalable data pipelines and warehouse models that power analytics, AI, and customer-facing products in a modern data stack.
Designs and maintains cloud-based data warehouses (Redshift/BigQuery/Snowflake) and builds ML pipelines using Python, Airflow, and cloud services (AWS/GCP/Azure/Oracle).
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Senior DevOps Engineer maintains SailPoint’s Identity Security Cloud SaaS in the UAE, running Kubernetes clusters, CI/CD pipelines, and distributed data stores (MySQL, PostgreSQL, Kafka, etc.) while ensuring 24/7 availability and compliance.
Designs and implements enterprise-scale data platforms (Data Lake, Warehouse, Mesh) using cloud and on-prem tools, then guides teams on best practices for storage, processing, and governance.
Build and maintain batch and real-time data pipelines, design schemas, and ensure trusted datasets for analytics and product teams using SQL, Python, Airflow, dbt, Kafka, and Snowflake/BigQuery.
Build and maintain batch and streaming pipelines for a fast-growing e-commerce platform, ensuring clean, reliable data in Snowflake/BigQuery using Airflow, Kafka, and dbt.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Designs and builds data pipelines on Google Cloud Platform, focusing on BigQuery, Dataflow, and Pub/Sub, while integrating agentic AI components using Python and MCP servers.
Senior Data Engineer builds and maintains cloud cost visibility pipelines using Python, SQL, dbt, and Airflow on AWS with Snowflake to deliver cost-aware insights for Engineering and Finance teams.
Senior Data Engineer builds and refactors scalable data pipelines in Python, FastAPI, and PostgreSQL/Oracle, deploys them on Kubernetes with Helm, and ensures high-quality, reusable data products for government use.
Build and automate a SQL Server data warehouse for a bank, reverse-engineering legacy reports into modern pipelines while collaborating with business teams.
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Lead a small team to build and scale WeRoad’s data platform, writing code and setting architecture for BigQuery, dbt, and real-time pipelines that turn raw travel data into trusted insights for stakeholders.
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