Gunashekar Katte Gundaih
DevOps/Data Engineer at CIMPA PLM Services Deutschland- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Full professional proficiency
-
Kannada Native or bilingual proficiency
-
Telugu Elementary proficiency
-
Tamil Elementary proficiency
-
German Elementary proficiency
-
Sanskrit Elementary proficiency
-
Hindi Limited working proficiency
Topline Score
Bio
Chiara Schmitz, CFE
Guna was with our company for almost two years, first as an intern and later as a working student. He developed SQL, used primary neuronal networks, used Stream Lit, created new UX designs in Figma, prepared data sets for the YOLO network, used front end and back end frameworks and created databases on Docker. He evaluated different deep neuronal network architectures, designed, implemented and demonstrated deep neuronal network structures for a client and researched and implemented a data visualization platform for the access of Aquaculture data. I experienced Guna as a very dedicated employee who you could approach anytime and he always was highly supportive. I thank Guna very much for his work at eseidon and can fully recommend him!
Seetharam Mahanthy
Guna is a highly enthusiastic engineer who can quickly learn new technologies. I had a wonderful opportunity of working with Guna on one project he is very collaborative and respects team goals and timelines. His willingness to take initiative and project responsibility is inspiring. He adapts fast and would be a great asset to any team.
Chiara Schmitz, CFE
Guna was with our company for almost two years, first as an intern and later as a working student. He developed SQL, used primary neuronal networks, used Stream Lit, created new UX designs in Figma, prepared data sets for the YOLO network, used front end and back end frameworks and created databases on Docker. He evaluated different deep neuronal network architectures, designed, implemented and demonstrated deep neuronal network structures for a client and researched and implemented a data visualization platform for the access of Aquaculture data. I experienced Guna as a very dedicated employee who you could approach anytime and he always was highly supportive. I thank Guna very much for his work at eseidon and can fully recommend him!
Seetharam Mahanthy
Guna is a highly enthusiastic engineer who can quickly learn new technologies. I had a wonderful opportunity of working with Guna on one project he is very collaborative and respects team goals and timelines. His willingness to take initiative and project responsibility is inspiring. He adapts fast and would be a great asset to any team.
Chiara Schmitz, CFE
Guna was with our company for almost two years, first as an intern and later as a working student. He developed SQL, used primary neuronal networks, used Stream Lit, created new UX designs in Figma, prepared data sets for the YOLO network, used front end and back end frameworks and created databases on Docker. He evaluated different deep neuronal network architectures, designed, implemented and demonstrated deep neuronal network structures for a client and researched and implemented a data visualization platform for the access of Aquaculture data. I experienced Guna as a very dedicated employee who you could approach anytime and he always was highly supportive. I thank Guna very much for his work at eseidon and can fully recommend him!
Seetharam Mahanthy
Guna is a highly enthusiastic engineer who can quickly learn new technologies. I had a wonderful opportunity of working with Guna on one project he is very collaborative and respects team goals and timelines. His willingness to take initiative and project responsibility is inspiring. He adapts fast and would be a great asset to any team.
Chiara Schmitz, CFE
Guna was with our company for almost two years, first as an intern and later as a working student. He developed SQL, used primary neuronal networks, used Stream Lit, created new UX designs in Figma, prepared data sets for the YOLO network, used front end and back end frameworks and created databases on Docker. He evaluated different deep neuronal network architectures, designed, implemented and demonstrated deep neuronal network structures for a client and researched and implemented a data visualization platform for the access of Aquaculture data. I experienced Guna as a very dedicated employee who you could approach anytime and he always was highly supportive. I thank Guna very much for his work at eseidon and can fully recommend him!
Seetharam Mahanthy
Guna is a highly enthusiastic engineer who can quickly learn new technologies. I had a wonderful opportunity of working with Guna on one project he is very collaborative and respects team goals and timelines. His willingness to take initiative and project responsibility is inspiring. He adapts fast and would be a great asset to any team.
Credentials
-
Certified SAFe® 5 Practitioner
Scaled Agile, Inc.Sep, 2022- Oct, 2024 -
Big Data Foundations - Level 1
IBMDec, 2016- Oct, 2024 -
Big Data Foundations - Level 2
IBMDec, 2016- Oct, 2024 -
Data Science Foundations - Level 1
IBMDec, 2016- Oct, 2024 -
Data Science Foundations - Level 1
IBMDec, 2016- Oct, 2024 -
Data Science Foundations - Level 2
IBMDec, 2016- Oct, 2024 -
Hadoop Administration - Level 1
IBMDec, 2016- Oct, 2024 -
Hadoop Data Access - Level 1
IBMDec, 2016- Oct, 2024 -
Hadoop Foundations - Level 1
IBMDec, 2016- Oct, 2024 -
Hadoop Foundations - Level 2
IBMDec, 2016- Oct, 2024 -
Hadoop Programming - Level 1
IBMDec, 2016- Oct, 2024 -
Scala Programming for Data Science - Level 1
IBMDec, 2016- Oct, 2024 -
Scala Programming for Data Science - Level 2
IBMDec, 2016- Oct, 2024 -
Spark - Level 1
IBMDec, 2016- Oct, 2024
Experience
-
CIMPA PLM Services Deutschland
-
Germany
-
IT Services and IT Consulting
-
1 - 100 Employee
-
DevOps/Data Engineer
-
Aug 2022 - Present
Analyzing the existing ARA workflow. Data loading from different environments. Migration of Databases. Monitoring the smooth run of workflows. Analyzing the existing ARA workflow. Data loading from different environments. Migration of Databases. Monitoring the smooth run of workflows.
-
-
-
Sunvigo
-
Germany
-
Utilities
-
1 - 100 Employee
-
Data Engineer
-
May 2022 - Jul 2022
Analyze the customer data and implement them in Postgres Database. Analyze integration between salesforce and power cloud. Analyze the customer data and implement them in Postgres Database. Analyze integration between salesforce and power cloud.
-
-
-
eseidon GmbH
-
Germany
-
IT Services and IT Consulting
-
1 - 100 Employee
-
Software Developer (Full Stack Developer)
-
Apr 2021 - Mar 2022
Development of new eseidon homepage. Development of IoT based prototype for accessing Aquaculture data and research was conducted on Data Visualization platform for Aquaculture Data using JavaScript and Python programs.
-
-
Data Science Research Intern
-
Jul 2020 - Mar 2021
My tasks involved labelling and creating deep neural network training datasets.Further, I trained AlexNet and ResNet models to sort deformed and healthy fishes using the datasets.Evaluated different Deep Neural Network architectures for the development of a CNN architecture for a use-case.Designed, implemented and demonstrated Deep Neural Network classifiers for the internal customer.
-
-
-
Cognizant
-
Uzbekistan
-
Education
-
1 - 100 Employee
-
Data Engineer
-
Apr 2018 - Sep 2019
A Data Foundation is a data integration project in which property feed data from different source system were loaded into MDM landing Targets and from MDM BO tables Data were loaded into EDW Staging depending on the requirements.Sufficient data is gathered, formatted by their ranks and presented to the users.
-
-
Bigdata Engineer & Analysis
-
Jan 2018 - Mar 2018
A metasearch engine (or aggregator) is a search tool that uses another search engine's data to produce its own results from the internet.Meta search engines take input from a user and simultaneously send out queries to third party search engines for results.Sufficient data is gathered, formatted by their ranks and presented to the users.
-
-
Bigdata Engineer
-
Jul 2017 - Dec 2017
Bigdata project is about CDC (Change data capture) implementation.Objective of Analytics Track is to implement data ingestion, data cleansing, CDC (Change data Capture) to capture the new, updated, deleted accounts.Scope of the project includes loading the history data/incremental daily data into Hive which comes from different sources.
-
-
Data Engineer
-
Apr 2016 - Jun 2017
Data fabric balancing assignment, migrating the existing Teradata application into Hadoop.Batch jobs were used to generate the summary report by referring to the migrated tables or from NFS files, even these batch jobs have migrated to hive and they are executed using Oozie workflow.Direct interaction with sellers to fetch data and load into databases.
-
-
Education
-
University of Applied Sciences and Arts Dortmund
Master's degree, Embedded Systems Engineering -
Visvesvaraya Technological University
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering -
P V P Polytechnic
Diploma of Education, Electrical, Electronics and Communications Engineering