Senior Data/AI Engineer

Jas Biharani

Irving, TX ***** 817-***-**** **********@*****.*** https://www.linkedin.com/in/jas-o-8679b83b5 Summary

Senior Data/AI Engineer with 10+ years delivering scalable data platforms, analytics solutions, machine learning systems, and cloud-native applications across insurance, healthcare, and retail technology environments. Built enterprise data pipelines, predictive analytics platforms, and AI-driven solutions that improved operational efficiency by 40%, accelerated delivery cycles by 50%, and strengthened data-driven decision-making across business functions. Combines mastery in data engineering, machine learning, cloud architecture, and analytics modernization to transform complex business challenges into measurable outcomes. Recognized for adaptability, creativity, curiosity, persistence, and problem solving while partnering with stakeholders to deliver high-impact solutions. Brings sophisticated knowledge of data platforms, analytics engineering, artificial intelligence, and enterprise software development that consistently drives business value.

Core Capabilities

Data Engineering:

Apache Spark, PySpark, Databricks, Airflow, ETL/ELT Pipelines, Data Warehousing, Data Modeling, Data Lakes, Snowflake, Data Governance

Data Analytics & Business Intelligence:

SQL, Statistical Analysis, A/B Testing, Cohort Analysis, Forecasting, KPI Development, Business Intelligence, Power BI, Tableau, Data Visualization Artificial Intelligence & Machine Learning:

Machine Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Deep Learning, Computer Vision, TensorFlow, PyTorch, Scikit-learn, LangChain Cloud & MLOps:

AWS, Microsoft Azure, Google Cloud Platform (GCP), Docker, Kubernetes, MLflow, CI/CD, Model Deployment, Model Monitoring

Programming & Databases:

Python, R, Scala, PostgreSQL, SQL Server, MongoDB, Redis, REST APIs Leadership & Collaboration:

Leadership, Stakeholder Management, Adaptability, Creativity, Problem Solving, Curiosity, Emotional Intelligence, Relationship-building

Experience

Senior Data / AI Engineer

Allstate United States Aug 2023 – Present

● Architected enterprise-scale data and AI platforms supporting critical insurance operations across multiple business domains

● Orchestrated cloud modernization initiatives that improved platform scalability, deployment efficiency, and operational resilience by 40%

● Engineered distributed data services and secure APIs enabling seamless integration across enterprise systems and analytics environments

● Spearheaded AI-powered automation solutions leveraging generative AI capabilities to augment internal workflows and accelerate business decision-making

● Optimized application performance through observability, monitoring, and reliability engineering practices that reduced incident response times by 35%

● Championed cloud-native architecture patterns that strengthened maintainability and supported long- term platform evolution

● Established engineering standards and governance frameworks that improved delivery consistency and software quality across teams

● Cultivated partnerships with business leaders and technical stakeholders to transform complex requirements into scalable solutions

● Realized measurable operational gains through machine learning integration, advanced analytics, and platform modernization efforts

● Mentored engineers on data engineering, AI implementation, cloud architecture, and software development best practices

Senior Data Engineer

Walmart Connect United States July 2018 – June 2023

● Developed enterprise data platforms supporting large-scale advertising, customer analytics, and business intelligence initiatives

● Implemented distributed data pipelines processing high-volume transactional and behavioral datasets across cloud environments

● Designed scalable backend services and data integration frameworks that improved system reliability and operational efficiency

● Modernized legacy platforms through cloud migration and architecture transformation initiatives that enhanced maintainability

● Leveraged machine learning models and predictive analytics techniques to improve campaign measurement and business performance reporting

● Delivered data products that streamlined reporting workflows and strengthened cross-platform interoperability

● Strengthened engineering excellence through reusable frameworks, technical documentation, and knowledge-sharing initiatives

Data Engineer

UnitedHealth Group United States September 2015 – June 2018

● Built scalable ETL workflows and data integration solutions supporting mission-critical healthcare platforms and operational reporting systems

● Analyzed business processes and legacy applications to improve reliability, maintainability, and long-term system performance

● Collaborated with cross-functional teams to streamline data movement, strengthen system integrations, and reduce operational bottlenecks

● Implemented reporting and analytics solutions that improved visibility into healthcare operations and business performance metrics

● Supported database optimization efforts that enhanced query performance and reduced processing times across enterprise systems

● Enabled platform stability and future modernization initiatives through disciplined engineering practices and continuous improvement efforts

Education

The University of Chicago

Bachelor’s Degree, computer Science Sep 2011 – Jun 2015

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