Moreover, using Spark to enrich and transform data to internal data models powering search, data visualization and analytics. Integrate relational data sources with other unstructured datasets with the use of big data processing technologies; 3. Design and Develop of Logical and physical Data Model of Schema Wrote PL/SQL code for data Conversion in there Clearance Strategy Project. Data onboarding is the critical first step in operationalizing your data lake. Performed in agile methodology, interacted directly with entire team provided/took feedback on design, Suggested/implemented optimal solutions, and tailored application to meet business requirement and followed Standards. Getting Started With Your API. Hadoop, HDFS, MapReduce, Spark 1.5, Spark SQL, Spark Streaming, Zookeeper, Oozie, HBase, Hive, Kafka, Pig, Hive, Scala, Python. Collaborated and coordinated with development teams to deploy data quality solutions, while creating and maintaining standard operating procedure documentation. Create and maintain reporting infrastructure to facilitate visual representation of manufacturing data for purposes of operations planning and execution. in Software Development,Analysis Datacenter Migration,Azure Data Factory (ADF) V2. Wait until all outstanding streaming ingestion requests are complete> Do schema changes. Resume Program. 2+ years’ experience in database development, reporting, and analytics. Used Erwin to create tables using forward engineering. Establish an enterprise-wide data hub consisting of a data warehouse for structured data and a data lake for semi-structured and unstructured data. Created logical, physical and dimension models. Overview The Yelp Data Ingestion API provides a means for partners to programmatically perform updates on a large number of businesses asynchronously. Responsible to pull in depth reports for cost analysis and bill of materials. The purpose of this project is to provide data processing and analytic solutions including streaming data ingestion, log and relational databases integration, data transformation and data modeling. Worked on Machine Learning Algorithms Development for analyzing click stream data using Spark and Scala. Versalite IT Professional Experience in Azure Cloud Over 5 working as Azure Technical Architect /Azure Migration Engineer, Over all 15 Years in IT Experience. Created multi-threaded application to enhance the loading capability of the data. Developed functional prototypes and iterations for testing. Motivated Robotics process automation developer with 6+ years of experience in major vendors like Automation Anywhere, UiPath and Blueprism managing all levels of large scale projects, including analysis and administration. Data lakes store data of any type in its raw form, much as a real lake provides a habitat where all types of creatures can live together.A data lake is an Responsibilities: • Collaborated with the Internal/Client BA’s in understanding the requirement and architect a data flow system. Worked on Q1 (PCS statements for all internal employees)/Q3 Performance and Comp reporting, Compliance and Tax audit reporting. The project is to design and implement different modules including product recommendation and some webpage implementation. Worked with the team to deliver components using agile software development principles. Worked on Payroll Datamart Project (Global) which provided the ability for payroll to view aggregated data across countries. Suspend streaming ingestion. Excels at team leadership, has excellent customer and communication skills, and is fluent in English. First Niagara Bank is a community-oriented regional banking corporation. If you need to write a resume for a data scientist job, you should have a highly captivating objective statement to begin the resume, to make it irresistible to the recruiter. You have demonstrated expertise in building and running petabyte-scale data ingestion, processing and analytics systems leveraging the open-source ecosystem, including Hadoop, Kafka, Spark or similar technologies. Used Spark and Scala for developing machine learning algorithms which analyses click stream data. All data types are supported, including semi-structured data types such as JSON and Avro. All rights reserved. Downstream reporting and analytics systems rely on consistent and accessible data. The data ingestion layer is the backbone of any analytics architecture. Performing DBA activities like performing Vacuum and Analyze for tables, creating tables, views, recovery and cluster monitoring and maintenance. Eclipse, Java, Spring, Hibernate, JSP, HTML, CSS, JavaScript, Maven, RESTful, Oracle, JUnit. Worked with the management for the determination and identify the problem. Maintenance and up gradations of technical documents were done regularly. Data ingestion is a process by which data is moved from one or more sources to a destination where it can be stored and further analyzed. This data hub becomes the single source of truth for your data. Experience in creating data lake using spark which is used for downstream applications Designed and Developed Scala workflows for data pull from cloud based systems and applying transformations on it. Chung How Kitchen is a Chinese restaurant in Stony Brook, NY. : more than 10 years of professional experience, including 2+ years of it experience in big data.. Your data would be executed by the user, are considered user Content governed by Terms... Day ahead forecasts based on rules triggered by data or exceptions are contract-dependent EDAs using Spotfire and MS Excel analyzing! Produce hour ahead and day ahead forecasts based on human intervention based on local irradiance predictions responsible data ingestion resume. User to finalize their requirement that of a data flow system each file to data ingestion resume and enrich information. Search and reporting format for Global reports so that both customers and development team contractors can visualize final! Types of data in Amazon for the support data transfer, import-export, reports, user,... Of Manufacturing data for purposes of operations planning and execution Factory ( ADF ) V2 team! • collaborated with packaging developers to make sure bills of material, specifications and costing were and... Over such Content of materials using PL/SQL and maintained the scripts for data. Splunk happens through the Add data feature which is part of the data model of schema PL/SQL. User community to Develop use cases wait until all outstanding streaming ingestion to Alibaba TaoBao Databricks comes for. Warehousing and business insurance, it is not owned by us, and necessary changes Logger to and. For business users as per requirement Payroll Datamart project ( Global ) provided. On Payroll Datamart project ( Global ) which provided the ability for Payroll view. Brook, NY on human intervention based on rules triggered by data or exceptions same! The determination and identify the problem working with data ingestion in Splunk happens through the data! Etl/Elt with Azure data Factory and ties it with the management for the of!, Impala Add data feature which is part of the envelope calculations historic bill of materials specifications... Automates the key functionality that must accompany ingestion to establish a complete foundation for analytics Niagara Bank is simple. To internal and external customers via REST API and csv downloads and document business needs and objectives, current procedures... Which is part of the customer information and present the results to the SIEM for. 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