Ranjith R. Email and Phone Number
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AWS Certified Data Engineer | Big Data Specialist | Hadoop Ecosystem | Pyspark | SQLAs a dedicated and experienced Data Engineer with over Four years of industry experience, I specialize in using Big Data tools, advanced SQL queries, and AWS cloud technologies to optimize data management processes, improve business intelligence, and foster data-driven decision-making. Throughout my career, I have developed a broad yet nuanced understanding of the Hadoop ecosystem and its components, such as HDFS, Map Reduce, Spark, Hive, Sqoop, and more. I have designed and implemented sophisticated Spark applications and used Python to automate various ETL workflows, ensuring efficiency and accuracy in data operations.In my roles, I have gained a wealth of experience in handling NoSQL databases, working closely with tools like Cassandra and MongoDB. My strong foundation in data architecture has seen me design efficient data ingestion pipelines, carry out advanced data processing, and apply machine learning models to unearth actionable insights from data.I have spent significant time working with AWS cloud services such as S3, EMR, Lambda, Redshift, Athena, and Glue, which has equipped me with the ability to leverage cloud computing in my data engineering work. I also have experience with leading-edge data platforms such as Databricks and Snowflake and have used REST APIs for effective data manipulation.Having spent a considerable amount of time working as a Data Engineer at CapitalOne, I have had the opportunity to develop, implement, and oversee a range of data solutions. My project management skills, combined with my ability to collaborate effectively across teams, have enabled me to deliver comprehensive data solutions tailored to diverse organizational needs.I'm always looking to connect with professionals in the data science, machine learning, and big data spaces, so feel free to reach out! I'm also open to new opportunities where I can utilize my data engineering skills and contribute to a team with my comprehensive data solutions.
Oracle
View- Website:
- oracle.com
- Employees:
- 202102
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OracleSterling, Va, Us
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Senior Data EngineerOracle Aug 2023 - PresentAustin, Texas, UsReal-World Data (RWD) Extraction and Processing: A Comprehensive Engineering ApproachIn my recent project at Oracle, I had the opportunity to play a pivotal role as a Data Engineer in the development and management of a sophisticated Real-World Data (RWD) extraction and processing pipeline. This project aimed to harness Electronic Health Records (EHR) data from various tenants such as 'browncountyhospital', 'iuhealth', 'eamc', and more, translating this data into valuable insights for healthcare analytics.Key Responsibilities and Technologies:Data Extraction: Developed an efficient data extraction process using Java. This involved pulling vast amounts of data from multiple healthcare tenants, each with its unique data structure and content.Data Processing and Implementation: Implemented core processing components in Go. This step was crucial in streamlining the data pipeline, enhancing both the performance and scalability of the data processing tasks.Data Structuring and De-Identification: Utilized PySpark to structure and de-identify the datasets, a critical step in ensuring privacy compliance and data security. This process involved handling complex data entities such as ALLERGY, CONDITION, PROCEDURE, and more, totaling 13 distinct types.Cloud-Based Management and Storage: Leveraged AWS services including EMR for Spark environment execution, Lambda for various data formatting steps, S3 for general-purpose storage, and DynamoDB for logging and metrics. These tools were instrumental in managing the high-volume, high-variety, and high-velocity nature of healthcare data.This project was not just about managing large datasets; it was about ensuring that the data extracted and processed could be translated into meaningful insights that drive better healthcare decisions and outcomes. It was a challenging yet rewarding experience that underscored the importance of precision, privacy, and efficiency in healthcare data engineering.
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Aws Data EngineerCapital One May 2022 - May 2023Mclean, Va, UsAs a seasoned Data Engineer at CapitalOne, my tenure encompassed the management of extensive end-to-end data engineering processes, including data ingestion, data cleansing, data transformations, data auditing, and feature engineering. My expertise was central to developing and maintaining complex ETL pipelines, adeptly utilizing tools such as Apache NiFi and Kafka for real-time data streaming and processing. In the realm of big data, I demonstrated an in-depth understanding of Hadoop's architecture and its integral components like HDFS, MapReduce, Spark, Hive, and Sqoop. I was a key player in the development of production-ready Spark applications leveraging Spark-Core, DataFrames, Spark-SQL, Spark-ML, and Spark-Streaming API's. I implemented scalable solutions in Databricks, capitalizing on its Unified Analytics Platform for big data processing and machine learning applications.In managing data storage, I utilized the Snowflake data warehousing platform for efficient data management and quick data querying. Additionally, I played a significant role in the optimization of ETL workflows and the design of data ingestion pipeline. I have successfully implemented and consumed REST APIs, ensuring seamless data exchange and smooth communication between different software components.My knowledge extended to AWS Cloud services like S3, EMR, Lambda functions, Redshift, Athena, and Glue. I efficiently used AWS utilities such as EMR, S3, and CloudWatch to run and monitor Hadoop and Spark jobs on Amazon Web Services (AWS), enhancing the computation, query processing, and storage solutions.With my grasp of the latest data technologies and big data tools, I was successful in driving impactful data-driven decision-making processes at CapitalOne. My strong technical skills, coupled with my passion for solving complex data problems, helped me significantly contribute to the company's data strategies. -
Lab DeveloperUniversity Of Central Missouri Jun 2021 - May 2022Warrensburg, Mo, UsIn my role, I demonstrated a deep proficiency in SQL and PySpark, adeptly creating complex queries for efficient data manipulation, extraction, and reporting. This skillset was crucial to guiding strategic decision-making processes within the organization. Using SQL in conjunction with Tableau, I designed and maintained database tables, views, and user-defined functions, streamlining data operations while simultaneously enabling interactive data visualizations.I exhibited proficiency in both SQL performance tuning and Tableau performance optimization, enhancing database and visualization efficiency and responsiveness. This ensured the organization was able to quickly access and interpret crucial data when needed, supporting faster, more informed decision-making.Further, I took a key role in managing the creation and maintenance of database objects and conducting thorough database analysis. This ensured data consistency and integrity, underpinning the accuracy of the data visualizations our teams produced. My collaboration with data science teams was also instrumental. I aided in data modeling tasks using SQL, PySpark, and Power BI, delivering clean, ready-to-use data that was then used to apply machine learning models and create interactive data visualizations. This, in turn, drove our data-driven decision-making processes and helped the organization leverage its data to the fullest. In summary, my skillset in SQL, PySpark, and data visualization tools like Tableau and Power BI, along with my collaborative approach, has enabled me to significantly contribute to the data engineering projects within the organization. -
Data EngineerHdfc Amc Mar 2019 - Feb 2021Mumbai, InAs a Data Engineer at HDFC AMC, I played a key role in upgrading their data management infrastructure. My work focused on transitioning from traditional on-premise Hadoop systems to a more robust Cloudera platform. I developed, tested, and launched ETL pipelines, while ensuring data integrity and security. To handle real-time data, I implemented Spark Streaming and Kafka, boosting operational efficiency. Additionally, I used my expertise in Python, SQL, and NoSQL to optimize data extraction, transformation, and loading processes. This project significantly improved data accessibility, speed, and reliability, fueling the company's data-driven decision-making processes. -
Intern As Research Fraud AnalystKarvy Fintech Apr 2018 - Jul 2018Hyderabad, Telangana, In• Assisted in the analysis of financial data, including market trends and company performance metrics,contributing to the development of investment strategies and portfolio management.• Conducted research on emerging trends, technologies, and regulatory changes in the finance industry, providing valuable insights to help inform the company’s financial decision-making process.• Collaborated with cross-functional teams to develop financial models and forecasts and participated in the preparation and presentation of reports and analyses to support management decisions and strategic initiatives.
Ranjith R. Skills
Ranjith R. Education Details
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University Of Central MissouriComputer Science -
Icfai Business SchoolGeneral
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Jntuh College Of Engineering HyderabadMechanical Engineering
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Narayana Junior CollegeChemistry
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Gowtham Model SchoolPrimary Education
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University Of Central MissouriComputer Science
Frequently Asked Questions about Ranjith R.
What company does Ranjith R. work for?
Ranjith R. works for Oracle
What is Ranjith R.'s role at the current company?
Ranjith R.'s current role is AWS Certified| Making Data Speak in the Language of Machine Learning | Cultivating Synergy Between Big Data and Machine Intelligence..
What is Ranjith R.'s email address?
Ranjith R.'s email address is ra****@****ail.com
What schools did Ranjith R. attend?
Ranjith R. attended University Of Central Missouri, Icfai Business School, Jntuh College Of Engineering Hyderabad, Narayana Junior College, Gowtham Model School, University Of Central Missouri.
What skills is Ranjith R. known for?
Ranjith R. has skills like Leadership, Microsoft Office, Project Management, Cad/cam Software, Research, Microsoft Excel, Business Development, Market Research, Phyton, Team Management, Sas, Ptc Creo.
Who are Ranjith R.'s colleagues?
Ranjith R.'s colleagues are Vishal Khandelwal, Savita Halli, Mpho Marumole, Boitumelo Tumi Kgonare, Rei Rutherford, Bhushan Damle, Stanislav Asanov.
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