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Designs, builds, and deploys cloud data solutions and pipelines for a staffing firm’s clients, ensuring scalable analytics and best-practice compliance.
Lead the build-out of AI-driven data infrastructure on Azure/Databricks, ensuring reliable pipelines for analytics and ML workloads using Spark/Scala.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Build and maintain speech-data pipelines that feed production ASR models, including audio processing, text normalization, and quality validation.
Build and maintain GCP-based data pipelines and warehouses using BigQuery, Composer, Python, and SQL to integrate and transform diverse data sources.
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Design and build cloud-native data pipelines and AI solutions using AWS and Snowflake, focusing on data modeling, governance, and performance tuning.
Build and govern data pipelines, lakes, and products to ensure accurate, secure, and accessible data for analytics and operations in a large consumer-banking unit.
Build and optimize Snowflake-based data pipelines and ETL processes, implement governance and AI features, and tune performance for cloud data workloads.
Build and maintain scalable data pipelines and cloud infrastructure (GCP/AWS/Azure) to process large datasets, using SQL and Python for ETL and data quality monitoring.
Designs and maintains scalable data pipelines and warehouses, transforming raw data into insights for decision-making using Python, SQL, and cloud platforms.
Build and optimize ETL pipelines, migrate big-data jobs, and integrate data from sources to targets using Spark, SQL, and visualization tools like PowerBI/Tableau.
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.
Designs and builds ETL pipelines in Informatica to feed ING’s data warehouse and reporting tools like Tableau and SAS, ensuring data quality and supporting analytics for banking decisions.
Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Builds and maintains scalable data pipelines and warehouses, ensuring efficient data transfer, transformation, and retrieval for analytical systems.
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
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