Ravi J.
Sales Engineer @Astronomer
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WORK HISTORY
Sales Engineer @Astronomer
Conceived and led 1st place hackathon team prize), building an Agentic AI workflow using the Airflow AI SDK and Airflow 3.0 event-driven scheduling to automate competitive intelligence across the data infrastructure landscape Independently produced a customer-facing tutorial video on Astro IDE, an AI agent for DAG authoring, refactoring, and test generation, focused on AF2→AF3 migrations; adopted by two enterprise customers seeking AI-driven upgrade paths Led enterprise POVs to successful close including a DAG migration from OSS Airflow to Astro Hosted where customer was considering AWS MWAA Compete against Google Cloud Composer and AWS MWAA in enterprise deals, leading with Astro Observe as primary differentiator; share competitive intelligence on GCC V3 upgrade pressure and EOL messaging with the broader SE team Partner with two Enterprise AEs across the Midwest on technical strategy, BVA development, and account planning to connect platform capabilities to measurable customer outcomes Demonstrate Astro Observe\'s unified DataOps capabilities: data lineage, data quality monitoring, SLA alerting, FinOps cost management, and AI-powered root cause analysis Built a custom Astro API integration connecting GitHub commit tracking with automated DAG failure alerts to responsible developers Earned dual Airflow certifications (Fundamentals and DAG Authoring) Advise enterprise customers on cloud-native Airflow integration across GCP, AWS, and Azure including secrets management, IAM, and connectivity options (e.g. PrivateLink, VPC peering, VPN); use Astro Hosted architecture diagrams in networking discussions Collaborate directly with Product team to surface field insights, coordinating PM involvement in strategic customer conversations and co-creating customer-facing content around upcoming roadmap features
EDUCATION
Georgia Institute of Technology
Professional Certificate, Introduction to Computing in Python
Quantic School of Business and Technology
Master of Business Administration - MBA
The University of Texas at Austin
Post-Graduate Program, Data Science and Business Analytics
DeepLearning.AI
Generative AI for Software Development
Babson College
Professional Education, Business Analytics Fundamentals for Leaders
Georgia Institute of Technology
Bachelor's degree, Mechanical Engineering
Massachusetts Institute of Technology
Professional Education, Entrepreneurial Negotiations
ABOUT RAVI J.
Sales Engineer at Astronomer, the company behind Apache Airflow, the industry-standard data orchestration platform trusted by OpenAI, Anthropic, GitHub, and thousands of enterprise data teams worldwide.I help enterprise data and engineering teams evaluate, adopt, and get value from Astro, Astronomer\'s managed Airflow platform. Competing primarily against Google Cloud Composer and AWS MWAA across the Midwest. My work spans technical discovery, competitive positioning, POV execution, and translating complex orchestration architecture into clear business outcomes and driving business value.9+ years in technical sales across the AI/ML and data ecosystem: MathWorks: learned how engineers apply data in machine learning, deep learning, computer vision, signal processing, simulation, and code generation applications/use cases across MATLAB/Simulink Algorithmia (acq. DataRobot): learned what productionizing AI/ML systems requires (Cloud, Docker, Kubernetes, REST APIs), and the operational complexity of keeping models running DataRobot: added AutoML, MLOps, and data quality to address how to train models at scale, deploy and monitor at scale, and catch data quality issues that could lead to poor model performance WhyLabs (acq. Apple): monitoring/observability on what breaks after AI/ML deployment (i.e. data drift, null rates, data type changes, distribution shifts, outliers, etc.) Akkio: worked on GenAI-powered Business Intelligence (BI) and AutoML for business and marketing agenciesApplications → reliability → monitoring → democratization → infrastructure. Each role added a layer.At Astronomer, it all comes together. Data orchestration is the infrastructure layer underneath every AI and data system. Without reliable pipelines, none of the above works.Today I\'m focused on: Enterprise Airflow adoption and GCC/MWAA/OSS Airflow migration Astro Observe for proactive DataOps, pipeline monitoring/observability, proactive alerting, and data quality Astro IDE for authoring Airflow pipelines both with code and no-code GenAI workflow orchestration with Airflow 3.0+ and the Airflow AI SDK Helping data teams build reliable, observable, production-grade pipelinesOpen to connecting with data and AI professionals of all kinds. Whether you are a practitioner, seller, builder, or anyone curious about where data orchestration fits in the modern stack.
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