Neelesh Nagalla

Data Engineer, Experienced Data Analyst

Austin +1-737-***-**** LinkedIn ad1v33@r.postjobfree.com I. Profile Highlights

Jun 2017 - Sep 2023

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Six years of work experience in delivering optimised data solutions and building Data Pipelines Successfully managed and lead multiple projects using Agile methodology. SQL expert with in-depth development experience in ETL using SQL and No-SQL technologies Strong Data analytics skills qualification in Data Engineering and Data Analysis. Knowledge of Amazon Web Services (AWS) and Microsoft Azure to deploy Machine Learning and Data Engineering solutions

Strong business acumen with excellent communication skills and high adaptability to new technologies Executive member and volunteer for multiple Monash clubs and societies III.

II

Sep2022 - Present

1. Leading a team to respond to and resolve incidents and service requests with various computer applications and processes over the phone and using remote administration, web chat, e-mail, face-to- face, and on-site visits.

2. Providing technical support for hardware, software, network connectivity, and processes and consulted users on best practices, advanced uses, and problem-solving strategies to meet technology needs.

3. Resolving requests for assistance with various computer applications and processes including software installation and troubleshooting, hardware diagnosis, network and telecommunication troubleshooting, and consulting on technology topics. This service is primarily delivered over the phone, but also via remote administration, chat, e-mail, walk-up, and on-site visits. Data Analyst

Simonds Group, Melbourne, Australia

Jan 2021 - May 2022

1. Reviewing student training activity, including apprentice and trainee training activity and working with the Data Quality Team Leader to ensure all evidence of participation is accurately demonstrated by using Splunk DevOps monitoring tool using ELK stack Elasticsearch, Logstash and Kibana on AWS. Grafana was used for boosting the scalability within the student management system (VETtrak). 2. Accurately and efficiently using student data systems including VETtrak and Epsilon to batch process student data, including apprentice and trainee enrolment and training activity, and reporting this to Government via the Skills Victoria Training System (SVTS) portal using the Tableau insights from the pipe.

3. Building Tableau dashboards after processing the data from the pipeline aiding in making informed decisions about student training activity within the RTO.

• Data Quality Analyst Oct 2019 - Dec 2020

Golden Fields Nutrition, Melbourne, Australia

1. Performing analysis on quality standards and procedures on running machinery, drums, boilers and tanks.

2. Building data processing pipelines with mix of traditional data technologies and Big Data technologies including SSIS, MSSQL, Airflow, Kafka, Flink, led the design and implementation of a GraphQL API using serverles infrastructure

3. Deploying the implementation using BuildKite CI/CD pipeline 4. Collaborating with stakeholders as data managers, delivery managers, data consumers, data analysts to deliver data products

5. Creating weekly reports using Tableau dashboards, by performing correlation test each week to the amount of product ordered and the output tonnage.

IV. Academics

A. Master of Computer Science, Texas State University, Texas (May 2022 – Dec 2023), GPA : 3.71(High Distinction)

B. Master of Data Science, Monash University, Melbourne, Australia (Jun 2017 - Apr 2019) C. Bachelor of Computer Science, GITAM University, India (2013-2017) V. Awards, Achievements and Volunteering

Winner of Monash Industrial Experience – 2019: best project in "Health” category Certificate of Appreciation by Monash University (2019) Merit Scholarship Award by Monash University (2017, 2018) Vice President of Monash Data Science Society (2017-2018) Executive Member of the Student Engagement Committee (2017-2019) Committee Member of Monash Entrepreneurial Club (2017-2019) VI. Reference – Available on Request

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