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Lead a team building and scaling a next-gen financial-data platform using Python, Spark, and AWS, while setting engineering standards and guiding technical decisions.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Build and maintain scalable AWS-based ETL/ELT pipelines using Glue, Spark, and SQL to feed data warehouses and analytics.
Build and maintain AWS-based data pipelines and ML workflows, turning datasets into insights and scalable analytics for clients across industries.
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Build and maintain cloud-based data pipelines and Lakehouse architectures using Azure, AWS, Databricks, and PySpark to deliver clean, scalable data for analytics and AI teams.
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
Build and own scalable AI/ML data pipelines and real-time streaming systems using Python, Spark, Airflow, Kafka, and cloud services like SageMaker and Snowflake.
Senior Data Engineer/ML Engineer builds and deploys ML models and pipelines in a banking context using Python, Spark, and AWS services like SageMaker and Glue.
Build and own the data backbone for a headless ecommerce SaaS platform, transforming raw transactional data into scalable pipelines and APIs that power real-time dashboards for 300+ fashion brands.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Build and optimize AWS-based data pipelines and Redshift models to power BI and analytics for a large European telecom client.
Senior Data Engineer builds and maintains ETL/ELT pipelines, data models, and quality checks using AWS, Spark, Python, and Databricks to deliver clean data for analytics and ML teams.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
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