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

CVS Health

Using machine learning, statistics, and big data to reduce costs and improve profits by millions of dollars at the 6th largest company in the USA (Fortune 6).

Senior Data Scientist

Butler University

Adjunct Professor of graduate (600-level) Data Science at a top Midwest Private University. Wrote the curriculum from scratch.

https://stories.butler.edu/butler-ranks-no-1-best-midwest-university-for-sixth-consecutive-year/

* artificial intelligence
* neural networks
* time series analysis
* optimizers
* generalized linear models
*  logistic regression

Languages used:
* Python
* R

Class is held one-night-a-week at 7 p.m.

Adjunct Professor of Graduate level Data Science (Statistics and Artificial Intelligence)

Roche

As a senior data scientist / bioinformatician, I develop bioinformatics software and pipelines.  Projects include epigenetics, target enrichment, sequence capture, RNA analysis and viruses.  During the pandemic, I developed multiple bioinformatics pipelines and software programs to analyze SARS-CoV-2 data coming off of a next generation high throughput sequencing platform.

• In a production level environment, I developed a wide variety of pipelines to process DNA, RNA and raw instrument files to successfully enable Roche’s applications, marketing and automation teams to perform their jobs and process petabytes of genomic data.  This includes, but is not limited to, whole genome shotgun, sequence capture, epigenetic, variant calling, transcriptome, umi, tumor, viral and metagenomics pipelines.

•  Worked with marketing to produce a competitor comparison to support the sales team.  This resulted in convincing data that our products were significantly more cost effective than the competition in scanning for a wide range of medically relevant genes.  This includes, but was not limited to, showing a 7 fold improvement compared to the competition when scanning for the famous breast cancer genes BRCA1 and BRCA2. 

•  I used a competitor comparison analysis, that I developed with marketing, to give a 25 minute presentation at the largest international human genetics conference in the world.   The video titled “Maximize Value with Target Enrichment”,  was presented at the American Society of Human Genetics (ASHG) in 2020.  This video is available at: https://youtu.be/kGicPOvh2iw

•  Placed in the top tier of a machine learning competition (RAAD challenge) which used machine learning to analyze biomarkers and medical records to predict mortality rate among 7 different types of cancer patient groups.

Senior Data Scientist ( Python / R )

As a data scientist and bioinformatician, I:
• Worked on marketing projects, created promotional posters, created brochures and made customer facing presentations at scientific conferences.  Some of this material was used not only in scientific conferences, but also in the 2011 movie Contagion starring Matt Damon, Jude Law and Gwyneth Paltrow.

• During the 2009 swine flu pandemic, I successfully supported Walter Reed Army Medical Center to enable them to successfully process H1N1 viral data they weren’t able to process without my help.
Supported the 454 Sequencing Instrument, a next generation sequencing device that’s currently at the Smithsonian Institute and was used by the Department of Homeland Security (DHS) to scan for biological weapons.

• Supported and managed High Performance Computing (HPC) Clusters at top institutions across the world.  No matter what the problem, I made sure they were up and functioning with minimal downtime.
Routinely coordinated the travel and dispatching of engineers and Ph.D. level field support across North America to ensure high value customers worth millions continued to function.

Data Scientist, IT & Customer Support

Indiana University School of Medicine

Took lead in developing a bioinformatics knowledge base for the IU School of Medicine.  A process that involved reviewing hundreds of abstracts and bioinformatics tools as well as programming in PHP, AJAX, jQuery, Javascript, MySQL and SQLite.

Packaged and programmed bioinformatics software for distribution and cross-platform portability by utilizing PHP, MSSQL, MySQL, postgreSQL, SQLite and Nullsoft Scriptable Install System (NSIS).

Aided in the development of laboratree.org by programming in CakePHP, PHP, Perl and MySQL.

Structure prediction using Tripos, Sp3 and various other techniques.

Aided in the construction of a database of receptor-ligand interactions with two and three-dimensional structures.  Database also includes binding thermodynamics from isothermal titration calorimetry for aiding in virtual screening of drugs.

Rendered the image on the cover of Chemical Biology & Drug Design, May 2007 - Vol. 69 Issue 5 Page 291-379.

Computational Biologist

Marine Biological Laboratory

Worked on infectious diseases.

Co-wrote genomics pipeline using Perl and MySQL in a Unix environment which performed close-to-real-time statistical analysis and visualization of genomic data from the high-throughput sequencing lab.

Performed hardware analysis and documentation.

Wrote ClusterFitch which used a portable batch system to run Fitch on a Beowulf cluster.

Bioinformatician

NASA - National Aeronautics and Space Administration

NASA Astrobiology Institute.  Worked for the Mitch Sogin lab in Woods Hole Massachusetts analyzing extremophiles which would give clues for extraterrestrial life.

https://astrobiology.nasa.gov/nai/directory/sogin-mitchell/index.html

I am a data scientist / data engineer with a MBA that loves all things data! My specialty is processing and making sense of big data.  I love helping out the company any way I can. I have been particularly effective in creating and making sense of data to help marketing and sales increase sales revenue. For example, I represented the largest diagnostic company in the world by presenting marketing data at the largest genetics conference in the world. I accomplished this by programming in Python and  R and utilized my data analytics skills.  I have a broad background that includes data engineering, data science, python, R, machine learning, and artificial intelligence.

Although I'm data-driven, I highly value the human element of life and enjoy working in cross-functional teams. I truly believe in the concept that man sharpens man like iron sharpens iron!

KEY SKILLS: Python | R (Programming Language) | Cloud Computing | Amazon Web Services AWS | Linux | Data Science | Artificial Intelligence | Machine Learning | Data Analytics | Cross-functional Collaboration | Project Management | Technical Consultancy | Customer Support | MBA | Bioinformatics | Databricks | PySpark

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Uzwal Goud Vaddeboina

Jonathan Nowacki, M.Sc., M.B.A.

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