Pratik Domadiya
Big Data Engineer @tms
Signup Β· Get unlimited contacts
WORK HISTORY
Big Data Engineer @tms
Toronto, ON, CA
Builds and Re-designed ETL data models and data architecture for McDonaldβs Sales, Supply Chain and Marketing data that improve accessibility, efficiency, governance, and data quality. Actively engaged in developing, testing, and maintaining data architectures for data platforms, Cloud databases (AWS, Snowflake), and analytical, or data science systems. Assist with governance, guidance, code reviews, and access controls so that we maintain consistency, quality, and business confidentiality as we scale analytics access across the company and to customers. Built and Improved ETL Automation with an advanced distributed SQL query engine for big data using AWS Athena, AWS Lambda, AWS Glue, AWS step functions, S3, AWS RDBMS, Python, Pandas, Numpy, Pytest Framework, Project Documentation, Code Review, and Analysis to Refactor and Automate old Manual ETL/ELT Data workflow. Developed Automation Unit testing Framework and Data validation framework. Working on Data-driven and event-driven architecture to build robust ETL Data systems.
EDUCATION
NALANDA VIDHYALAYA , SURAT
Secondary Education
Loyalist College
Postgraduate Degree
KAUSHAL VIDHYABHAVAN
Higher Secondary Education
Dharmsinh Desai University
Bachelor of Technology - BTech
ABOUT PRATIK DOMADIYA
Data Scientist - Engineer | Big Data Developer | AWS Data Engineer | Automation Expert I\'m a Data Science Engineer with core expertise in connecting business needs to technology through cutting-edge techs such as Big data analytics, Database modeling, Automation, Cloud Architecture designing, artificial intelligence, Data Analytics, and Machine Learning as an aspiring data scientist to expand my knowledge and skill set.I have personally assisted numerous people and organizations over the past three years in various industries, including Retail, finance, E-commerce, Insurance, fashion, Banking, and others, to offer data-intensive solutions by building. Customer relationship models Recommendation systems Price Optimization strategies Identifying areas of improvement Automation I previously earned a Bachelor of Technology in Information Technology and hold my postgraduate qualification specializing in Data Science and Artificial intelligence. I am excited to read that data is important today and that data analysis can even be used to anticipate a person\'s behavior. That curiosity sparked my interest in the Data World, artificial intelligence, and machine learning.TECHNICAL PROFICIENCY: Proficiency in programming languages such as Python, Spark, SQL, and Scala. Database management (Snowflake DB, SQL, MySQL, MSSQL). Experience working with AWS cloud-based data platforms including AWS S3, AWS Lambda, Athena, AWS Glue, EC2, Redshift, AWS Neptune, DynamoDb, and AWS Data Security. Established a solid foundation in designing and building ETL data pipelines, Data models, Data warehouses, Data lakes, Data analysis, Data wrangling, Data visualization, and statistical techniques. Proficient in working with the Hadoop ecosystem, including MapReduce, HDFS, Spark, Scala, Impala, Hive, Oozie, Sqoop, Kafka (Spark Streaming and batch processing), and Yarn Passionate to explore data with software like Tableau, Power BI and Python libraries such as Matplotlib, Pandas, Plotly, Seaborn etc. Skilled in developing predictive machine learning models using Machine Learning/Deep Learning frameworks/libs (TensorFlow, Scikit-learn, Python, etc.). Other Tools: Github, Docker, Tableau, Power BI, Google ColabPERSONAL SKILLS: FOCUS RESTORATIVE ACHIEVER LEARNER IDEATIONDon\'t hesitate to reach out if you\'d like to get in touch:Email: pβ’β’β’β’β’β’β’β’@gmail.com.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.