Shah Zaib Sohail Ali, Healthcare Data Platform Technical Product Lead

SHAH ZAIB SOHAIL ALI

Technical Product Lead | Data Platforms, Interoperability & AI Enablement

Specializing in Healthcare Workflows, Azure Optimization & Enterprise Data Architecture

+92-321-690-3041
contact@shahzaibali.dev
Islamabad, Pakistan

PROFESSIONAL OVERVIEW

Technical Product Lead specializing in healthcare data platforms, clinical interoperability, and enterprise cloud solutions. I lead the design and delivery of scalable data products that connect complex healthcare workflows, analytics needs, and operational outcomes. My work combines product strategy, SQL Server architecture, cloud infrastructure, and asynchronous data ingestion to support population health, value-based care, and healthcare operations. I focus on building reliable, secure, and practical systems that help organizations turn fragmented clinical and business data into actionable insight.

CURRENT RESPONSIBILITIES

Technical Product Manager

DataQ Health | 2020 - Present
  • Own product strategy and roadmap execution for data platforms and analytics solutions supporting population health and value-based care programs.
  • Manage stakeholder engagement and client collaboration to align product capabilities with business priorities, operational needs, and clinical outcomes.
  • Define product requirements, epics, and user stories by translating complex business needs into clear, technically feasible delivery plans.
  • Establish and monitor KPIs across risk adjustment, annual wellness visits, disease management, and quality programs to support data-driven decision-making.
  • Lead Agile/Scrum delivery across engineering, data, and business teams to deliver scalable, high-impact data products.
  • Oversee the end-to-end product lifecycle, from discovery and prioritization through delivery, adoption, and continuous improvement.
  • Drive workflow optimization and automated process design to improve operational efficiency, reporting accuracy, and platform usability.
  • Align healthcare product capabilities with value-based care objectives, population health initiatives, and enterprise data strategy.

Data Platform & Architecture Contributions:

  • Spearhead the design and evolution of enterprise-scale data platforms, including data warehouses, data lakes, and lakehouse architectures.
  • Define and implement data architecture strategies ensuring scalability, performance, and interoperability.
  • Design conceptual, logical, and physical data models for claims, EMR, and payer datasets.
  • Leverage Azure cloud services for distributed data storage and processing.
  • Establish data governance frameworks, including data quality validation, standardization, and compliance practices.
  • Guide modernization of legacy data workflows into more modular, scalable, and observable platform capabilities.
  • Standardize data ingestion and transformation patterns to improve consistency, maintainability, and reuse across healthcare data workflows.

AI & UTILITY PROJECTS

  • MediQuery AI

    AI-powered healthcare analytics platform enabling natural language querying of hospital alert data with real-time ClickHouse insights and MinIO-backed data lake architecture.

  • HL7 ADT Ingestion Platform

    Production-grade healthcare data pipeline with real-time observability and file lifecycle management.

  • TSV Ingestion & Reporting Platform

    High-performance EHR data ingestion utility with multi-threaded Python engine and HIPAA compliance.

  • CCDA Validation & Ingestion Tool

    Enterprise clinical informatics engine for high-concurrency XML auditing and relational SQL Server ingestion with advanced encounter mapping.

  • GCP HL7 Intake Lab

    A learning-focused healthcare data engineering web app designed to teach Google Cloud Platform (GCP) concepts using HL7 v2 messages.

PAST WORK EXPERIENCE

Application Data Architect

DataQ Health (Wiseman Innovations) | 2019 - 2020
  • Architected a comprehensive Population Health Management platform, designing end-to-end scalable, secure, and high-performing applications.
  • Collaborated with cross-functional leadership to support critical initiatives including Risk Adjustment, Quality Reporting, and Care Coordination.
  • Established enterprise-grade architectural patterns, security protocols, and coding standards for long-term maintainability.
  • Defined data integration frameworks and metadata standards to ensure seamless interoperability across the platform.

Key Architecture & Impact:

  • Architected modular, service-oriented systems for ingestion, processing, and visualization of healthcare data (EMRs, Claims, Payers).
  • Designed robust pipelines supporting real-time and batch ingestion from HIEs, EMRs, and third-party analytics vendors.
  • Ensured strict compliance with healthcare standards including HL7, FHIR, CCDA, QRDA, and HIPAA/CMS regulations.
  • Optimized data accessibility and reporting capabilities to support population health and utilization management.
  • Skills: Data Architecture, Application Architecture, Problem Solving.

Lead Development

DataQ Health (Wiseman Innovations) | 2017 - 2019
  • Led the end-to-end development of enterprise healthcare applications using the Microsoft technology stack.
  • Oversaw high-performing teams through the complete SDLC, ensuring scalable, secure, and user-centric solutions.
  • Balanced hands-on coding with leadership responsibilities including mentoring, code reviews, and cross-functional collaboration.
  • Translated complex business and clinical requirements into robust technical solutions with an emphasis on modularity.

Key Contributions & Leadership:

  • Developed and maintained enterprise-grade healthcare applications using ASP.NET, C#, and Microsoft SQL Server, adhering to HIPAA and CMS compliance.
  • Promoted best practices in coding standards, version control, and agile methodologies across the development team.
  • Designed interactive user interfaces using HTML5, JavaScript, jQuery, and CSS within Visual Studio.
  • Performed advanced database modeling and query optimization in SQL Server for high-volume healthcare transactions.
  • Resolved technical bottlenecks and performance-tuned scalable solutions to support continuous improvement.
  • Served as primary liaison between QA, product management, and infrastructure teams for cross-functional alignment.
  • Skills: Microsoft SQL Server, .NET Framework, ASP.NET, Team Management, Problem Solving.

Senior Software Engineer

DataQ Health (Longhorn Innovations) | 2015 – 2017

    Senior Software Engineer

    BroadPeakIT | 2014 – 2015
    • Provided technical support and development for major e-commerce platforms with a focus on SEO optimization.
    • Collaborated within cross-functional teams to deliver high-performance web solutions for international brands.

    Key Projects & Technologies:

    • Contributed to the development of major platforms: EdibleArrangements.com (Desktop/Mobile), EdibleBrands.com (Desktop/Mobile), DippedFruit.com, BerryDirect.com, and SalmaKhatoonHospital.com.
    • Technologies: Microsoft SQL Server, jQuery, Visual Basic .NET, JavaScript, CSS.

    Software Engineer

    Netsolace Inc. | 2011 – 2014
    • Focused on learning and implementing emerging web technologies across diverse project environments.
    • Contributed to the evolution and maintenance of high-scale retail platforms.

    Key Projects & Technologies:

    • Contributed to major platforms including EdibleArrangements.com.sa and the mobile iteration of EdibleArrangements.com.
    • Technologies: Microsoft SQL Server, CSS, jQuery, JavaScript.

    CORE COMPETENCIES

    Product Leadership

    • Product Strategy & Roadmap Ownership
    • Stakeholder Management & Client Engagement
    • Requirements Definition (Epics, User Stories)
    • KPI Definition & Data-Driven Decision Making
    • Agile / Scrum Delivery & Lifecycle Management
    • Cross-Functional Team Leadership (Engineering, Data, Business)
    • End-to-End Product Lifecycle Management
    • Workflow Optimization & Automated Process Design
    • Value-Based Care & Healthcare Product Alignment

    Data Platforms & Architecture

    • Data Platform Design (Data Warehouse, Data Lake, Lakehouse)
    • Data Modeling (Conceptual, Logical, Physical)
    • Modular & Service-Oriented System Architecture
    • ETL/ELT Pipelines & Data Integration
    • Real-Time & Batch Processing Architectures
    • SQL & NoSQL Databases
    • Multi-Source Ingestion (Claims, Eligibility, EMR, Payer Files)
    • Data Modeling & Integration Frameworks (HIEs/APIs)
    • Real-Time & Batch Processing Architectures
    • Interoperability (HL7, FHIR, CCDA, QRDA)
    • Security Protocols & Regulatory Compliance (HIPAA/CMS)
    • Data Governance & Solution Stability Enhancements
    • Data Interoperability & Healthcare Standards Integration (HL7, FHIR, CCDA, QRDA)

    TECHNICAL SKILLS

    Healthcare Data Standards

    • HL7 (ADT, ORU, ORM - Extensive)
    • FHIR (R4/R5) & SMART on FHIR
    • Clinical Terminology (ICD-10, LOINC, SNOMED)
    • CCDA, QRDA, Claims & PHI Scrubbing
    • Enrollment & Eligibility Data

    Backend Utility & Stack Experiments

    • Asynchronous Python (asyncio/httpx)
    • NoSQL (Redis/Vercel KV/MongoDB)
    • Message Brokers (Kafka/RabbitMQ)
    • Orchestration (Airflow/NestJS Workers)
    • Cross-Platform Desktop (Flet/Electron)

    Data Engineering

    • ETL/ELT & Data Warehousing
    • Data Modeling & Master Data Management
    • Idempotent Pipeline Design
    • Schema Evolution & Migration
    • Storage Tiering Strategies
    • Data Lineage Tracking
    • Data Observability & Monitoring

    Governance & Compliance

    • HIPAA, HITRUST & CMS Compliance
    • Air-Gapped Infrastructure Design
    • Technical Safeguards (XXE, Audit Logs)
    • Metadata & Data Lineage

    Modern Web & Serverless Experiments

    • Modern Web (Next.js, React, Tailwind CSS)
    • Serverless (Vercel/Azure Functions)
    • Node.js & NestJS (Orchestration)
    • Data Visualization (Recharts/D3)

    Data & Databases

    • SQL Server (Enterprise Architecture)
    • Query Optimization & Schema Design
    • Relational Data Modeling

    Cloud

    • Microsoft Azure (Primary Infrastructure)
    • Azure Data Factory & Synapse Analytics
    • Hybrid Cloud Networking

    Analytics

    • Power BI & Embedded Analytics
    • Longitudinal Patient Summaries
    • Advanced SQL Analytics

    AI & Data Research Experiments

    • Vector Databases (Pinecone/Milvus)
    • Columnar Storage (ClickHouse/BigQuery)
    • Distributed Storage (MinIO/S3)
    • Distributed Query Engines (Trino/Presto)
    • Predictive Modeling & AI Agents
    • LLM Orchestration (LangChain/Groq)

    Programming

    • C#, .NET & Entity Framework
    • ASP.NET MVC & Web Services
    • LINQ & Core Development

    PROFESSIONAL DEVELOPMENT

    • Become a Product Manager - Udemy
    • Communication Enhancement Program - Internal
    • Course for HIPAA (571836) - Internal
    • User Story Masterclass - Udemy