Keurig Dr Pepper Inc.

o	Working as a senior data engineer in the KDP Tech Data & Analytics team.
o	Leading the finance data product team to build reusable finance data assets in Snowflake, using Informatica Cloud, dbt, and PowerBI, ensuring a single source of data for finance insights.
o	Conducted regular code reviews to ensure high-quality code while mentoring and promoting best practices within team.
o	Developed robust Jenkins CI/CD pipelines integrating dbt testing, Docker image builds, and deployment to GCP Artifact Registry, automating workflows with Automic/UC4 to streamline the deployment process.
o	Seamlessly integrated data quality testing with data transformations by leveraging dbt.
o	Led the development of diverse supply chain analytics solutions, improving manufacturing and customer service performance metrics and enhancing inventory forecasting accuracy using Informatica Cloud, Snowflake, and Tableau.
o	Engineered data pipelines to join, filter, and integrate complex finance datasets enabling insights in MicroStrategy (MSTR) using Qlik Replicate, Informatica Cloud, and Snowflake.
o	Designed, developed, and optimized scalable data pipelines to collect, process, and store large volumes of data from diverse sources in Snowflake, ensuring data accuracy and availability for analytics.

Senior Data Engineer

LAVSUN Technologies Inc

●	Led the installation, configuration, and optimization of Hortonworks Hadoop clusters with components such as Spark and Hive.
●	Worked on distributed processing frameworks including Hadoop, Hive, and Spark to process and analyze large datasets.
●	Utilized Spark to process over 20 TB of data stored in HDFS, enabling business insights and decision-making.
●	Leveraged Apache NiFi to design and implement data flows for collecting, processing, and storing data in Hadoop HDFS.
●	Integrated LDAP/AD for security in Hadoop environments, and managing encryption keys, zones, and audit monitoring in HDFS.
●	Regularly backed up enriched data to a remote Hadoop cluster and Amazon S3 using Hadoop DistCp, ensuring disaster recovery.

Data Engineer

Principal Data Analyst at Keurig Dr Pepper

I am a Senior Data Engineer specializing in building scalable, efficient, and high-performance data pipelines to enable faster, data-driven decision-making. 

With expertise in Snowflake, dbt, SQL, and Python, I help organizations transform raw data into actionable insights by designing optimized ELT workflows, ensuring data quality, and automating processes for efficiency.

💡 Key Highlights:

✔ Designed, developed and maintained scalable ELT pipelines, improving data processing speed and analytics performance.
✔ Led data transformation initiatives, enabling self-service analytics for finance & supply chain teams.
✔ Integrated CI/CD automation for dbt models, ensuring seamless deployments with Jenkins & GCP.

I am passionate about bridging engineering and analytics, ensuring businesses have reliable, fast, and well-structured data to make informed decisions. Whether it's optimizing query performance, automating deployments, or modernizing data infrastructure, I thrive on solving complex data challenges.

📩 Let’s Connect!
If you're looking for a data engineer who can accelerate analytics and build scalable data solutions, feel free to reach out!

Uzwal Goud Vaddeboina

Wissen Infotech

✅ Designed and implemented end-to-end BI architecture using Microsoft Fabric and Power BI, enabling business users with real-time insights.
✅ Migrated multiple legacy reports from Tableau/Excel to Power BI, achieving 100% automation and reducing manual effort by 30+ hours/month.
✅ Developed advanced DAX measures and optimized data models, improving report performance by 40%.
✅ Implemented Row-Level Security (RLS) and workspace governance to ensure secure, role-based data access.
✅ Automated reporting workflows using Power Automate & Power Virtual Agents, reducing dependency on manual triggers.
✅ Led a team of developers, providing architecture guidance, code reviews, and deployment pipeline management.
✅ Partnered with stakeholders in Finance, Supply Chain & Sales domains to translate business requirements into actionable dashboards.

Associate Architect

✅ Architected large-scale BI & Analytics solutions using Microsoft Fabric, Power BI, and Azure Data services, ensuring scalability, performance, and security across enterprise environments.
✅ Spearheaded migration programs from legacy platforms (Excel, Tableau, Qlik) to Microsoft Fabric & Power BI, enabling enterprise-wide adoption and reducing reporting turnaround time by 70%.
✅ Designed data governance, deployment pipelines, and CI/CD frameworks to standardize analytics delivery and improve productivity across global teams.
✅ Provided technical leadership and mentorship to cross-functional teams (5–10 developers), conducting code reviews, defining best practices, and guiding BI architecture decisions.
✅ Collaborated with executives and business stakeholders to translate strategic goals into data-driven roadmaps, aligning analytics initiatives with organizational KPIs.
✅ Championed the integration of AI/ML with Microsoft Fabric and Power BI to deliver predictive insights and anomaly detection in Finance, Supply Chain, and Sales domains.
✅ Drove performance optimization, reducing refresh failures by 40% and cutting report load times by 50%, resulting in improved user adoption.
✅ Recognized for building a Center of Excellence (CoE) for Power BI & Fabric, establishing reusable assets, accelerators, and governance frameworks that scaled across multiple projects.

Principal Engineer

✅ Leading a team of 5–7 BI developers, providing technical guidance, code reviews, and mentoring to ensure high-quality and scalable solutions.
✅ Architected and delivered enterprise-grade BI solutions using Microsoft Fabric, Power BI, SQL, and Power Platform, improving reporting efficiency and reliability.
✅ Migrated 30+ legacy reports from Excel/Tableau to Power BI, achieving 95% process automation and saving ~40 hours/month in manual effort.
✅ Designed and implemented data models & advanced DAX calculations, improving report performance by 50% and enabling faster insights.
✅ Implemented Row-Level Security (RLS), workspace governance, and deployment pipelines, strengthening compliance and security.
✅ Partnered with cross-functional stakeholders in Finance, Supply Chain, and Sales to convert business requirements into actionable dashboards and KPIs.
✅ Introduced AI-powered analytics with Microsoft Fabric for anomaly detection and predictive insights, enhancing decision-making.
✅ Recognized for driving Power BI best practices & adoption through internal knowledge-sharing sessions and building a reusable asset libra

Lead Engineer

Senior Software Engineer

OTSI - Object Technology Solutions Inc.

Senior Software Engineer - Data Analytics

Wipro

Software Engineer

Accenture

Application Developer

🚀 "I am a results-driven Associate Architect with 10+ years of IT experience, specializing in Microsoft Power BI, Microsoft Fabric, and the Power Platform (Power Virtual Agents, Power Apps, Power Automate). Over the years, I have designed and delivered end-to-end BI solutions that empower organizations to make data-driven decisions with confidence.

💡 At Wissen Infotech, I lead initiatives in data modeling, DAX optimization, report development, and deployment pipelines, ensuring high-quality, scalable, and secure analytics solutions. I have also guided teams in implementing row-level security, automation through Power Automate, and AI-driven analytics using Microsoft Fabric.

🌍 My expertise spans across Supply Chain, Finance, and Sales analytics, where I have migrated reporting from legacy tools (Excel, Tableau) into Power BI & Fabric, enabling faster insights and full automation.

✨ Passionate about continuous learning, I am actively exploring AI integration with Power BI & Fabric and regularly share insights, DAX challenges, and Power BI tips with the community.

📈 Key Skills: Microsoft Power BI | Microsoft Fabric | DAX | Power Platform | SQL | Data Modeling | BI Architecture | Data Visualization | Stakeholder Management

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Uzwal Goud Vaddeboina

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