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Lead Software Engineer-Big Data Python / Java , Databricks
Lead a team building and scaling a secure, AI-driven KYC and risk data platform using Python/Java, Databricks, Spark, and cloud-native tools to support JPMorganChase’s global operations.
Data Analyst (Middle)
Middle Data Analyst builds and optimizes SQL queries in Greenplum for a bank’s DWH, designs Data Vault 2.0 models, and automates pipelines with Apache Airflow.
Senior Data Analyst / Data Engineer
Design and maintain ETL/ELT pipelines, cloud data warehouses, and BI dashboards using SQL, Python, and tools like Snowflake and Tableau.
Marketing Data Engineer
Build and maintain PySpark/Hadoop pipelines to process marketing data, support A/B testing and MMM, and enable CRM/CDP analytics for Visa’s global campaigns.
Senior Software Engineer
Build and maintain Java/Python microservices, REST APIs, and data pipelines; optimize Snowflake/Postgres storage and Airflow workflows; ensure security and compliance.
Senior Data Engineer
Design and build scalable cloud data infrastructure on GCP, including pipelines, warehouses, and ML tooling, to power analytics and product teams at a crypto-fintech company.
AI Engineer
Build and deploy scalable AI/ML applications on GCP, integrating GenAI/LLMs and MLOps pipelines to power Ford’s mobility, manufacturing, and logistics systems.
Lead Software Engineer - AI/ML Developer Lead
Lead a team building and maintaining AI/ML platforms and infrastructure for JPMorgan Chase’s consumer banking systems using Python, TensorFlow/PyTorch, and cloud ML tools.
Specialist , Data Engineering
Build and maintain data pipelines and ETL workflows using Informatica PowerCenter, IDMC, and cloud tools to integrate and process large datasets for a global biopharma company.
Senior Manager, Data Engineering
Lead a team of data engineers to build and scale the revenue data mart for RingCentral, integrating Hadoop, Snowflake, and AWS pipelines to power finance, sales, and executive reporting.
Senior Manager/Lead Systems & Data Architect
Lead the architecture and modernization of RingCentral’s cloud-native data platform, integrating batch, streaming, and AI/ML workloads to power analytics and agentic voice AI products.
Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes
Build and maintain AI-ready data pipelines and dashboards for Trailhead’s content analytics, learner feedback, and business impact metrics using SQL, ETL tools, and Tableau.
Senior Manager, Analytics and Data Science - Firefly
Lead a team of analysts and data scientists to drive data-driven decisions for Adobe Firefly’s generative AI products, using Python, SQL, and experimentation to shape strategy and roadmaps.
Sr Engineer, SRE TechOps CICD (Remote)
Senior SRE builds and operates CrowdStrike’s internal CI/CD platform, automating deployments and ensuring reliability for thousands of engineers using Kubernetes, databases, message queues, and observability tools.
Technical Lead - Data Engineer
Lead a team to design and build large-scale Microsoft BI solutions for a regulated financial services firm, using SQL Server, SSIS, SSRS, Power BI, and open-source data pipelines.
Technology Architect / Development Leader
Designs and leads enterprise-scale data/analytics platforms for a bank, integrating AI/ML, cloud-native tools, and regulatory-compliant architectures to enable real-time insights and predictive modeling (e.g., fraud detection, credit scoring).
Senior AI Engineer
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
Technical Program Manager II
Technical Program Manager II at CNN leading the modernization of the analytics platform into a single data platform for real-time insights and personalization.
Software Engineer
Build and maintain the infrastructure for AI-powered audit agents, focusing on evaluation, observability, and scalable data pipelines in Python and GCP.
Team Lead Data Engineering
Lead a team of data engineers to build and run scalable data platforms (Data Lake, DWH) and pipelines, ensuring high-quality, compliant data for analytics and reporting in a fast-paced sports-betting environment.