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Vetted Data Transformation Professionals
Pre-screened and vetted.
Mid-level Business Analyst specializing in data analytics and enterprise reporting
Sriram Rajaraman
Senior Infrastructure Platform Architect specializing in Kubernetes and hybrid cloud
“Platform/infra engineer with strong ownership of Kubernetes on VMware and day-to-day hybrid on-prem-to-AWS operations. Has hands-on experience automating infrastructure delivery with Terraform/Ansible/CI-CD, and has resolved real production issues spanning CSI storage reattachment during upgrades, vSphere storage-latency performance degradation, and hybrid connectivity/routing failures with improved validation, monitoring, and failover.”
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Aleric Patterson
Senior Backend/Platform Engineer specializing in Python and AWS
“Backend/data engineer with hands-on production experience across Python/FastAPI services and AWS (Lambda, API Gateway, SQS, ECS) delivered via Terraform and GitHub Actions. Built Glue-to-Redshift ETL pipelines with Step Functions retry/catch patterns, schema evolution safeguards, and data quality checks; also modernized a legacy SAS monthly reporting system into Python microservices with rigorous side-by-side parity validation. Demonstrated strong SQL tuning skills with a reported improvement from 5 minutes to 15 seconds.”
Hari Vaishnavi Tummalapalli
Mid-level Business Analyst specializing in BI, reporting automation, and process improvement
“Analytics professional with experience at McKinsey & Company and Dell Technologies, focused on turning messy operational and business data into trusted dashboards and decision tools. They combine SQL, Power BI, and Python to solve data quality issues, define metrics like retention, and deliver measurable impact such as a roughly 30% reduction in manual reporting time.”
Senior Backend Developer specializing in Python, AWS serverless, and data/ETL systems
Senior Solutions Engineer specializing in AI automation and Unified Communications
Mid-level Supply Chain & Operations Analyst specializing in demand planning and inventory optimization
Junior Data Analyst specializing in AI analytics and BI for financial services
Senior Data Engineer specializing in cloud data platforms and scalable ETL pipelines
Mid-level AI/ML Engineer specializing in Generative AI and enterprise machine learning
Senior Software Engineer specializing in high-throughput systems across FinTech, e-commerce, and data platforms
Staff Machine Learning Engineer specializing in Generative AI, MLOps, and Computer Vision
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Senior Machine Learning Engineer specializing in computer vision and healthcare AI
Mid-level Full-Stack Software Engineer specializing in healthcare and cloud systems
Senior Talent Systems & Data Consultant specializing in recruiting analytics, taxonomy, and AI classification
Senior Data Analyst specializing in healthcare and financial analytics
Senior Business Analyst specializing in data analytics and business intelligence
Mid-level Analytics Engineer specializing in dbt, SQL transformation, and Snowflake