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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLESUMMARYData Engineer with 4+ years of experience in designing and implementing data solutions using cloud-based platforms. Skilled in ETL development, dimensional modeling, and data analysis, demonstrated through successful projects in healthcare and financial sectors. Proficient in Python, SQL, and various big data technologies, with a Master's degree in Data Sciences and hands-on certifications in AWS and Snowflake.SKILLSProgramming Languages : Python, R, SQL, JavaScript, HTML, CSS, React, REST API Big Data Technologies : Snowflake, Google BigQuery, Azure, AWS, Databricks, Informatica, Apache Spark, Hadoop. Databases : MySQL, PostgreSQL, SSIS, Oracle, Teradata, MongoDB, PL/SQL, T-SQL Data and ML Skills : Tableau, Power BI, TensorFlow, Scikit, NumPy, Pandas, HuggingFace. DevOps : Git, Docker, Kubernetes, Linux, Shell scripting, Version Control, GitLab, JIRA, Jenkins, Agile. EXPERIENCEPCE Lab, Buffalo, NY Mar 2023 Dec 2023MACHINE LEARNING RESEARCH ASSISTANT Developed data model using business rules and ERD for an innovative data management system, resulting in a 25% decrease in data retrieval time. Utilized SQL, Python, and statistical analysis tools to analyze patient survey records datasets, identifying key trends and patterns, informed decision-making processes and resulted in a 15% increase in operational efficiency. Engineered a patient data analysis tool on Google BigQuery, resulting in a 40% reduction in data processing time for healthcare professionals managing diabetes patients. Deloitte, Hyderabad, India Feb 2021 July 2022SENIOR DATA ENGINEER Collaborated with data architects in optimizing data warehousing solution using Snowflake(MPP platform) streamlined data flows, saving 30+ TB monthly storage cost and supporting real-time analytics of clinical trial data. Effectively communicated with business stakeholder in understanding the data requirements and collaborated with 4 data engineers in ETL implementation, resulting in 100% client satisfaction rate. Enhanced ETL data pipeline processes by automating data extraction from SQL databases and flat files into Snowflake using IICS integration tool, reducing manual effort by 75% and ensuring timely data availability for analysis. Developed a data transformation framework addressing problems using Apache Spark on EMR environment, resulting in availability of previously inaccessible datasets to 150+ end clients. Built Continuous Integration and Delivery pipelines leveraging Docker and Kubernetes, decreasing deployment time by 40% and ensuring consistent and reliable releases. TATA Consultancy Services, Bangalore, India Jan 2019 Jan 2021 DATA ENGINEER Migrated a Financial Data Warehouse of 100PB+ data from Teradata (on-premises) to Snowflake Data warehouse(cloud), resulting in a more efficient and cost-effective data storage solution for the company. Developed and automated data processing pipeline by using AWS Glue service that processed over 10TB of data per month, improving handling of over 3 billion financial transactions monthly, increasing processing speed by 25%. Implemented pipeline to automate data loading from AWS S3 to Snowflake utilizing AWS SQS, Snowpipe, and Snowflake Tasks technologies, increased data accuracy and reduced manual efforts by 60%. Developed and implemented real-time streaming data processing solutions using Kafka, resulting in a 30% increase in overall data processing efficiency.CERTIFICARIONS Snowflake Hands on Essentials Data Engineer. AWS Certified Cloud Practitioner, AWS Storage Data Migration. EDUCATIONUniversity at Buffalo, The State University of New York Buffalo, New York Master of Science in Data Sciences and Applications [GPA: 4.0/4.0] Dec 2023 |
