Jeevitha P.

Data Engineer

Bengaluru, Karnataka, India6 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

6+ years of experience in data engineering.
Expertise in AWS and Big Data technologies.
Designed scalable serverless solutions for data workflows.

Stackforce AI infers this person is a Data Engineer with strong expertise in Big Data and Cloud Computing.

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Skills

Core Skills

Data EngineeringBig DataCloud ComputingAi/mlMachine LearningDatabase ManagementNlpSoftware Development

Other Skills

AWSAWS AI servicesAWS LambdaAWS SageMakerAWS serverless lambdaAgile MethodologiesAmazon DynamoDBAmazon Web Services (AWS)Apache KafkaComprehendContainersData AnalysisDatabricks ProductsDynamoDBFlask Framework

About

Artificial Intelligence | Data Enthusiast | Cloud Engineer | AWS | Serverless | Big Data | PySpark | ML | Python | RASA chatbot I 2020 Graduate (Master Degree holder from NC, USA) Passionate Data Engineer with over 6+ years of experience turning complex data challenges into innovative solutions. Currently contributing to renewable energy advancements at Vestas Wind Technology, leveraging Big Data, AWS, PySpark and Snowflake to drive efficiency and insights in wind turbine technologies. Previously, I’ve worked on healthcare and next-gen social media domains, gaining expertise in Apache Spark, Hadoop, HDFS, and Python. A key highlight of my journey includes designing and deploying a scalable serverless solution using AWS Lambda and Step Functions to automate data workflows, significantly reducing processing time and operational overhead. With a master’s degree from a University(ECU) in North Carolina, United States, graduated in 2020, where I learned advanced concepts in data s science and engineering, machine learning, cloud computing and big data. I combine a solid foundation in statistics and programming with practical expertise in serverless AWS solutions, including DynamoDB, Boto3, and API Gateway. Beyond work, I thrive on continuous learning through tech talks, hackathons, and coding challenges, while enjoying chess, dancing, and exploring creative pursuits. Let’s connect to discuss all the things that matter as a Data Engineer - data, innovation, and cloud!

Experience

6 yrs 10 mos

Total Experience

1 yr 1 mo

Average Tenure

2 yrs 4 mos

Current Experience

Vestas

Data Engineer

Jan 2024 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

SQLPythonPySparkSnowflakeData EngineeringBig Data

Utopus insights

Data Engineer

Feb 2022 – Dec 2023 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

SQLPython (Programming Language)Databricks ProductsSnowflakeData EngineeringBig Data

Legato health technologies

Software Engineer

Feb 2021 – Feb 2022 · 1 yr

Big Data Projects using PySpark
1. AWS Migration ~150 million data from on-prem to cloud by encrypting personal information.
2. Data cleaning to save space and archiving not frequently used records.
3. QR code registration link generation for different campaigns/ channels.
4. Hcidfree ack processing ETL pipelines integrated with kafka

Sutra networks

Associate AI ML Analyst

Aug 2020 – Jan 2021 · 5 mos

1. Modern social media platform:Using aws lambda and step functions to integrate rekognition, comprehend, transcribe and textract services for all types of media analysis.
2. designed gamification engine to capture reward points from user activity on social media
3. Implemented clickstream analysis and recommendation engine using AWS SageMaker.
4. Using NoSQL databases such as MongoDB and DynamoDB to store the results

Alnitek innovative solutions

Software Engineer Intern

May 2020 – May 2020 · 0 mo · Bengaluru, Karnataka

Document based search engine API
worked on real time python project involving natural language Programming, Python, Flask Framework, REST APIs, NLP concepts, NLTK, Chatbot development.
Extracted text from pdf documents using pdf miner module available in python.
Extracted text from ppts and excel spreadsheets using python-pptx and xlrd modules.
All the extracted texts were pre-processed and tokenized.
Tf-Idf vectorisor and Cosine similarity NLP concepts were implemented to build a question-answering system from
variety of documents.
The Search Engine also presented the file path and page
number where the answer was found.
The project was deployed on Heroku with yaml
configuration to get Flask API which was used to build a Chatbot application.
Firebase storage was used to store the files and retrieve them.

East carolina university

2 roles

Research Assistant

Feb 2019 – Dec 2019 · 10 mos

Research Assistant worked on Virtual Reality to solve the problem of HTC VIVE VR Tracking system. The data collected from VectorNav sensor was considered to align the data collected from VR controller. Worked with python data science packages to compare and visualize the data collection in the form of graph and analyzed the RMSE values.
May 2019 to July 2019
Worked on Conversion of Matlab code into c++ using Armadillo Library