SummaryLogical Data Analyst skilled in requirement analysis, software development and database management. Self-directed and proactive professional with 3.5 years of vast experience collecting, cleaning and interpreting data sets. Natural problem-solver possessing strong cross-functional understanding of information technology and business processes.Strong knowledge in AWS cloud services likeECS,EC2infrastructure,S3for storage, Elastic MapReduce(EMR),Athenaas query manager andCloudWatch.Very well experienced with various visualization tools likeTableauby extracting data from various data sources.Mastering Leading in development of applications tools usingPythonfor 3 years.Worked on performance tuning and optimization to improve the efficiency in script executions.Good working experience loading Data Files inAWSEnvironment and Performed SQL Testing on AWS redshift databases.Exceptional ability to research, analyze and convey complex technical information to diverse end-users at all levels. SkillsData ValidationUNIX SystemSQLPython3BI Tools(Tableau, Looker, Datapoint)Data Bases(Sql-Server, Postgres, MYSQl, Python,Oracle)Amazon Web Services (AWS)ServicenowJenkinsPagerdutySplunkGIT ExperienceData Analyst Data Engineer,09 2021toCurrentManagement Decisions, Inc. Reston,VA,Worked in Banking industry under Risk Management sector to maintain various applications, tools, data pipelines which have both upstream and downstream applications.Saved at least 7 hours week of team effort by automating manual business tasks using python pandas within first 3 months of joining the team.Strong experience in implementing various tables and schemas in Amazon Redshift DB, Snowflake DB also worked on migrating various tables from Redshift to Snowflake DB.Organized several empathy sessions with business users and established brand new high impact Tableau dashboards along with improving existing dashboards as per new user requirement which received immaculate user response.Working knowledge of Amazon s Elastic Cloud Compute (EC2) infrastructure for computational tasks, Simple Storage Service (S3) as storage mechanism.Managed timely flow of business intelligence information to users.Collected, tracked and evaluated current business and market trend data.Proven ability to manage all stages of project development, Strong Problem solving skills and Analytical skills and abilities to make balanced and independent decisionsData Analyst,04 2019to08 2021Capital One City,STATE,Involved in analysis, design and documenting business reports such as Executive summaries, Scorecards and drill-down reports.Worked on performance tuning and Query Optimization for increasing the efficiency of scripts.Developed, monitored the workflows and responsible for performance tuning of staging and 3NF workflows.Analyzing and profiling data returned for data integrity and business decisionsResponsible for migrating legacy reports to a new platform by rebuilding them to meet current business requirements.Audited internal data and processes to identify and manage initiatives, improving business performance.Assisted integration of internal and external data tools and products, maintaining stability and performance across systems.Provided technical support for existing reports, dashboards or other tools.Maintained or updated business intelligence tools, databases or dashboards.Disseminated information regarding tools, reports or metadata enhancements.Communicated with customers, competitors and suppliers to stay abreast of industry or business trends.Data Analyst Production Support Analyst,05 2018to03 2019Dollar Shave Club City,STATE,Used JIRA Agile methodology extensively to track day to day scrum activities.Writing SQL scripts for selecting the data from servers and modifying data as need with python pandas and stored back to different data base servers Organized and facilitated sprint planning, daily stand-up meetings, Scrum of Scrum, Sprint review, Sprint retrospectives, and other Scrum-related meetings.Writing SQL scripts for selecting the data from servers and modifying data as need with python pandas and stored back to different data base servers Organized and facilitated sprint planning, daily stand-up meetings, Scrum of Scrum, Sprint review, Sprint retrospectives, and other Scrum-related meetings.Manipulating, cleansing and processing data using python code and SQL.Troubleshooted Various production failures related to data loads.Responsible for loading, extracting and validation of client data Collected data from various databases to SQL server by extensively using Joins and Sub queries in SQL according to requirements of the dev team.Responsible for loading, extracting and validation of client data Collected data from various databases to SQL server by extensively using Joins and Sub queries in SQL according to requirements of the dev team.Responsible for loading, extracting and validation of client data Collected data from various databases to SQL server by extensively using Joins and Sub queries in SQL according to requirements of the dev team.Initiated daily status email to track the data loads in production environment. Education and Training Management Information Systems,Expected in12 2017toUniversity of Mary Hardin-Baylor-Belton,TXGPA Bachelor of Science Electrical, Electronics And Communications Engineering,Expected in08 2015toAuroras Technological And Research Institute-Uppal(India),GPA  SEP  Title Azure Data Engineer Location Seattle, WA - In-Office Days Monday, Tuesday, and ThursdayDuration 12 months Job Description Independently design and develop programs and tools to support data pipelines including ingestion, curation, and provisioning of data for analytics, reporting and data science. Deliver key, complex business capabilities and platform features. Deliver high quality software using AgileScrum development methodologies. Identify and drive operational improvements for the team s data platform services. ResponsibilitiesShould have experience with Azure Databricks, Spark, and Azure Data Factory Should have experience operationalizing production pipelines4 years of software development experience using Python PySpark4 years of experience using software engineering fundamentals, including algorithm theory and data structures. 2 years of experience using CICD tools to build and deploy software systems.2 years of experience using relational and non-relational, NoSQL databases. 1 years of experience using Hadoop or Spark. 1 years of experience using data hygiene routines and models.Collaborate with development team, other Information Technology (IT) teams developer leads.Initiate process improvements for new and existing systems. Design, develop, implement, document, and test changes to an application subsystem.Code, test, debugs, documents, and implement complex software applications.Create more complex prototypes and ensure deliverables are high quality and meet user expectations.Support system and integration testing activities.Perform root cause analysis to identify permanent resolutions to software or business process issuesInitiate design reviews for new applications and adhere to software development standards. Coach, and mentor other team members.Perform cross-training and facilitate information sharing among team members.