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Title Data Engineer Service Technician
Target Location US-OH-Kent
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PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedinEducationMasters in Computer Science. Expected graduate in Dec Street Address  Kent State University, Kent, Ohio. G.P.A: 4.0/4.0Bachelor of Technology, Electronics and Communication Engineering. Jul 2017 - Jun 2021 SASTRA Deemed to be University, Tamil Nadu, India G.P.A:7.98 /10.0 ExperienceFord MotorPrivate Limited- Data Engineer, Chennai, India Aug 2021 - Aug 2023 Superheaded the implementation of a real-time data streaming solution using Apache Spark improving data processing speed by 30% Successfully led the migration of data products, including SCTR(Service Technician Retention) and Vehicle Master, from Hadoop to GCP BigQuery, resulting in annual cost savings of $60K and a 30% performance boost Engineered an innovative compliance automation solution to seamlessly manage CCPA and GDPR requirements for customer data in US and EU regions, slashing manual effort by 15 hours weekly, a remarkable 25% efficiency gain. Utilized Looker Studio to generate reports and extract valuable insights from extensive BigQuery data, achieving a 25% improvement in data analysis efficiency. Integrated 150 million raw records from more than 30 data sources to create and construct a real-time data pipeline for processing unstructured data that improved a processing speed by 50% Collaborated across teams to automate ETL processes for billions of data rows, resulting in a 30% reduction in manual workload. Optimized the performance of AWS-hosted applications with CloudWatch monitoring resulting in a 10% decrease in error rates. Communicated with project managers and on data pipelines that drove efficiency KPIs by 35% Designed a data warehousing solution that processed 100 TB of data daily, reducing processing time by 23% and improving overall data accuracy by 35% Migrated workload to AWS cloud leveraging EC2 and S3 for efficient scaling, increasing efficiency by 40% Architected and deployed a scalable real-time data platform using AWS Stack (S3, Glue, Lambda, RDS) which enhanced business decision-making capability by 30%. Ford MotorPrivate Limited- Intern, Chennai, India. Dec 2020 Jun 2021 Proficiently created, tested, and managed datasets within Google Cloud Platform's BigQuery holding 500TB of data. Developed SQL scripts for query automation to remove the need for human interaction increasing the accuracy of queries being run by 64% Proficient in writing and optimizing SQL queries to extract, analyze, and manipulate large datasets. Proficient in using Python programming language for data analysis, manipulation, and visualization tasks. ProjectsParkinsons Disease Classification Using Machine Learning. Mar 2020 - May 2020 Led the development of a sophisticated AI model by leveraging Convolutional Neural Networks on MRI data, achieving a groundbreaking accuracy rate of 95% in identifying Parkinson's disease symptoms Smart Waste Management using Blockchain Technology Aug 2020 - Nov 2020 Created and set up a smart contract to automate trash management on the Ethereum mainframe.Used special nodes on the Ethereum network referred to as "Local Authorities" and "Higher" to implement a governance system in the projectTwitter SentimentAnalysis using Long Short term Memory Mar 2021 - Jun 2021 Successfully implemented a model using cutting-edge RNN LSTM (Recurrent Neural Network Long Short-Term Memory) algorithms with 95.1% accuracy by applying a groundbreaking sentiment analysis model to a comprehensive dataset, extracting precise sentiment, attitude, and feelings with exceptional precision and detail.Technical Skills Languages: C, C++, Python, Solidity, SQL, NoSQL, Power BI, DSA, ML workflows, JavaScript Methodologies: Agile (XP and scrum), DevOps, Numpy, Pandas, Matplotlib, Data Visualisation, Developer Tools: VS CODE, Jenkins, Keras, Google collab, DataLake, Jira, Terform, Maven, Kubernetes Technologies: G.C.P, Big Data, AWS (EC2, S3, RDS, Lambda), Cloudera components, Airflow, HTML, CSS, Excel, Kafka, Spark, LookerStudio, NLP, Snowflake, Docker, Tensorflow, Git, Pandas, PyTorch, Databricks,Azure

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