Jay V Email & Phone Number

Dallas, Texas, United States

Azure Data Solutions: Developed end-to-end data and analytics solutions using Azure Data Factory, ADLS Gen2, Databricks, and Synapse Analytics. These pipelines supported data ingestion, preparation, training, and model deployment for real-time analytics.Automation & Governance: Automated data workloads across Azure resources using Azure Functions and ensured data governance, security, and legal compliance within the architecture. Implemented data quality checks and audit trails to meet regulatory requirements.Power BI Dashboards: Designed and deployed interactive Power BI dashboards, providing real-time data visualization that enhanced decision-making across marketing and sales teams.Marketing Data Integration: Worked closely with marketing teams to integrate data from platforms like Google Marketing Platform and Salesforce MCI, optimizing data ingestion pipelines for comprehensive analytics.Real-time Data Processing: Leveraged Databricks to process large-scale data in real-time using Delta Lake, reducing query execution times by 30% and improving operational efficiency.Python & API Architecture: Developed Python-based APIs for seamless integration of marketing and operational data into the analytics framework, automating workflows and enhancing data accessibility.

Cleveland, Ohio, United States

Data Pipeline Development: Designed and maintained scalable ETL pipelines using Azure Data Factory, Synapse Analytics, and ADLS Gen2 for efficient data ingestion, storage, and processing. Integrated Databricks to streamline data preparation and modeling for machine learning projects.Automated Workloads & Security: Automated data workflows and implemented security measures using Azure Automation and Azure Security Center, ensuring that all processes adhered to data governance standards and regulatory compliance.Marketing Data Analytics: Built and managed pipelines for marketing data ingestion and analytics, integrating data from platforms such as Salesforce MCI and The Trade Desk. Provided actionable insights for PNC’s marketing strategies through advanced analytics.Power BI Integration & Reporting: Automated marketing performance reporting with Power BI, providing a comprehensive view of campaign performance and business metrics. Enhanced data models to improve data classification and zone management for better reporting efficiency.Python & API Development: Developed Python-based APIs for real-time data processing and integrated them into the existing Azure architecture, enabling better scalability and data access.SAFe Certification: Trained in SAFe methodology, which helped streamline collaboration between data and business teams, enhancing agility in project execution.

Hyderabad, Telangana, India

Azure API Development: Designed and developed APIs in Azure using Python and Flask, enabling secure and scalable data access. Integrated these APIs with cloud platforms like Azure SQL and ADLS to facilitate real-time data querying.Automation & Monitoring: Built automation scripts using Python for continuous monitoring of workloads and to maintain data quality standards. Used Azure Log Analytics for tracking key metrics and performance.Marketing Analytics Integration: Collaborated with teams to process and analyze marketing domain data from various platforms, contributing to enhanced business insights.Data Governance & Compliance: Implemented data governance practices to ensure compliance with internal and external data regulations.

Hyderabad, Telangana, India

Data Pipeline Optimization: Built and optimized data pipelines using Python for data ingestion and storage in MySQL databases. Integrated these pipelines into the Azure environment for improved scalability and data governance.ETL Automation: Developed scripts to automate the ETL process using Azure Data Factory, ensuring efficient data processing across multiple zones and storage systems.Power BI & Data Modeling: Worked with the data team to design Power BI dashboards and enhance data models, supporting better data visualization and decision-making processes.Python & API Development: Developed APIs using Python to streamline data flow between different systems, enabling more efficient access and manipulation of business data.