Hi, I’m Rao Mubeen, a results-driven AI Automation Engineer with 10+ years of experience delivering production-ready AI solutions and automation workflows for sales and customer operations. I specialize in building AI-driven agents for lead qualification, scoring, and appointment scheduling, with strong Python development skills, API integrations with CRMs, and machine learning for process optimization. I love collaborating with business stakeholders to translate complex requirements into scalable, reliable automation that boosts sales efficiency and conversion rates. I maintain a focus on robust architecture, security, and a continuous learning feedback loop to refine strategies based on real outcomes.

Rao Mubeen

Hi, I’m Rao Mubeen, a results-driven AI Automation Engineer with 10+ years of experience delivering production-ready AI solutions and automation workflows for sales and customer operations. I specialize in building AI-driven agents for lead qualification, scoring, and appointment scheduling, with strong Python development skills, API integrations with CRMs, and machine learning for process optimization. I love collaborating with business stakeholders to translate complex requirements into scalable, reliable automation that boosts sales efficiency and conversion rates. I maintain a focus on robust architecture, security, and a continuous learning feedback loop to refine strategies based on real outcomes.

Available to hire

Hi, I’m Rao Mubeen, a results-driven AI Automation Engineer with 10+ years of experience delivering production-ready AI solutions and automation workflows for sales and customer operations. I specialize in building AI-driven agents for lead qualification, scoring, and appointment scheduling, with strong Python development skills, API integrations with CRMs, and machine learning for process optimization.

I love collaborating with business stakeholders to translate complex requirements into scalable, reliable automation that boosts sales efficiency and conversion rates. I maintain a focus on robust architecture, security, and a continuous learning feedback loop to refine strategies based on real outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Architect at Point C
March 1, 2022 - November 21, 2025
Designed AWS + Databricks lakehouse architecture using Delta Lake and medallion layers, improving processing efficiency by 45% and reducing compute cost by 30%. Built enterprise ELT pipelines with PySpark, Auto Loader, and Kafka, reducing ingestion time from 6 hours to 30 minutes. Developed semantic and dimensional models improving reporting SLA compliance by 35%. Implemented AI-driven data quality with MLflow, reducing manual validation effort by 60%. Led Data Mesh rollout with Data Contracts and automated lineage using Collibra + Unity Catalog. Modernized claims and provider pipelines, reducing failures by 70%. Implemented HIPAA-compliant RBAC, encryption, and masking, achieving 100% audit compliance. Built reusable dbt frameworks, reducing SQL duplication by 50%. Delivered ML feature pipelines, increasing training throughput by 25%.
Senior Data Engineer at Optum
February 1, 2022 - February 1, 2022
Built ELT pipelines on Snowflake and PySpark, improving processing speed by 50%. Implemented real-time ingestion with Kafka + Spark Streaming, cutting data latency to <5 minutes. Developed ML feature pipelines that improved model accuracy by 20%. Migrated SQL and Hadoop workloads to modern platforms, reducing infrastructure cost by 35%. Automated metadata and lineage capture, reducing manual documentation work by 70%. Built marts optimized for analytics, improving reporting performance by 40%. Implemented Great Expectations and anomaly detection, reducing data quality issues by 55%. Consolidated 120+ pipelines, saving 20% in operational cost.
Data Engineer at CVS Health
August 1, 2019 - August 1, 2019
Built ETL pipelines processing 2TB+ daily across pharmacy and clinical data domains. Migrated data warehouse to Redshift + S3, improving query performance by 35%. Implemented CDC ingestion patterns, reducing data refresh time from 12 hours to 1 hour. Built validation scripts and checks, increasing data accuracy by 30%. Achieved 99.7% ingestion reliability using Kinesis and S3-based ingestion patterns. Ensured zero HIPAA violations through secure encryption and RBAC controls. Automated CI/CD pipelines, reducing deployment effort by 80%.
ETL / ELT Developer at HCL Technologies
May 1, 2017 - May 1, 2017
Developed ETL pipelines processing 300M+ records across multiple enterprise systems. Tuned ETL jobs and SQL, improving overall ETL performance by 40%. Delivered S2T mappings with 99.9% accuracy for critical data flows. Automated batch job orchestration, reducing manual operational work by 70%. Improved release cycles and deployment processes by 30%.
Senior AI Automation Engineer
March 1, 2022 - Present
Designed and developed AI-driven agents for automated lead qualification and appointment scheduling for sales teams. Ingested leads from multiple sources and evaluated quality based on industry, company size, urgency, and budget criteria. Developed lead scoring algorithms classifying leads as hot, warm, or cold to optimize sales team prioritization. Automated follow-up actions including personalized email communications, meeting time proposals, and CRM record updates. Created notification systems to alert sales teams of qualified leads and scheduling updates. Implemented continuous learning feedback loops that refine communication and scoring strategies based on conversion outcomes. Integrated AI agents with multiple lead sources and CRM systems through API development and third-party platform connections. Collaborated with business project leads to align technical solutions with detailed business logic and use cases. Ensured solutions were robust, scalable, production-ready, and met s
AI Solutions Engineer
September 1, 2019 - February 1, 2022
Built AI-powered automation solutions for customer service and sales operations. Developed machine learning models for lead scoring and customer segmentation. Implemented API integrations with CRM platforms and email service providers. Created automated workflow systems for business process optimization. Collaborated with cross-functional teams to deliver production-ready AI solutions.

Education

Add your educational history here.

Qualifications

Bachelor of Technology in Computer Science
January 11, 2030 - November 21, 2025
AWS Certified Data Analytics
January 11, 2030 - November 21, 2025
Databricks Data Engineer Associate
January 11, 2030 - November 21, 2025
Snowflake SnowPro Core
January 11, 2030 - November 21, 2025
Microsoft Azure Data Engineer (DP-203)
January 11, 2030 - November 21, 2025
Google Professional Data Engineer
January 11, 2030 - November 21, 2025
Bachelor of Technology in Computer Science
January 11, 2030 - January 5, 2026
Bachelor of Technology in Computer Science
January 11, 2030 - January 5, 2026

Industry Experience

Healthcare, Financial Services, Software & Internet, Retail, Telecommunications, Computers & Electronics, Professional Services