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Vetted Apache Airflow Professionals
Pre-screened and vetted.
Pratik Jaiswal
Mid-level AI/ML Engineer specializing in financial services ML and MLOps
“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”
Hyndhavi Sibbala
Senior Data Engineer specializing in multi-cloud data platforms and streaming pipelines
“Data platform engineer with hands-on ownership of high-volume financial data pipelines (millions of transactions/day) on Azure (ADF, Databricks, Delta Lake, Synapse), emphasizing schema-drift protection and automated data-quality gates. Also built resilient web scraping pipelines with anti-bot and backfill strategies, and shipped a versioned FastAPI + Redis data API with autoscaling, testing, and CI/CD via GitHub Actions.”
Sanghavi Yelmelwar
Mid-level Software Engineer specializing in FinTech and Healthcare systems
“Data engineer who has owned end-to-end production pipelines ingesting ~500GB/day from APIs/databases/Kafka into an S3 data lake (Glue/Spark) with Airflow-orchestrated Great Expectations quality gates. Built resilient external data collection systems with idempotent jobs, exponential-backoff retries, raw data capture, and backfills; also shipped Snowflake-backed APIs with caching, versioned endpoints, and backward-compatible data contracts. Led an early-stage Azure data platform build with phased delivery and GitHub Actions CI/CD, resolving schema-mismatch incidents quickly without downstream corruption.”
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Senior Data Engineer specializing in cloud data platforms and analytics
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
Senior AI/ML engineering leader specializing in healthcare and life sciences
Senior Full-Stack Engineer specializing in cloud architecture and AI/ML integration
Junior Software Engineer specializing in ServiceNow, data engineering, and AWS
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics