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 Experience09 2021toCurrentData Analyst Data EngineerManagement 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 decisions04 2019to08 2021Data AnalystCapital 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.05 2018to03 2019Data Analyst Production Support AnalystDollar 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 TrainingExpected in12 2017toto Management Information SystemsUniversity of Mary Hardin-Baylor-Belton,TXGPA Expected in08 2015totoBachelor of Science Electrical, Electronics And Communications EngineeringAuroras Technological And Research Institute-Uppal(India),GPA  SEP  This is a W2 contract in Minneapolis, MN 55402.Bank is looking for a successful Data Analyst to support our Enterprise Data Governance (EDG) and Data Privacy and Protection (DPP) initiatives. This role will collaborate with the business line and technology groups. Primary responsibilities include Effectively work in matrixed team of Data Analysts, Project Managers and Business Analysts in support of a specific business andor regulatory need. Research and build a detailed understanding of the problem and related data assets in order to code the data processing and analysis. Light development coding Ensure that the data used follows the compliance, access management and control policies of the company while meeting the data governance requirements of the business. Work with technical groups to support the collection, integration, and retention of the data sources. Apply data visualization and summarization techniques to the analytical results. Interpret and communicate the results in a manner that is understood by the business. Basic Qualifications Bachelor s or masters degree in mathematics, Engineering, Computer Science, or equivalent work experience. 5 years related technical experience and 3 years analytical experience in the BankingFinancial industry or similar highly regulated industry. Preferred SkillsExperience Proficiency with SQL SAS (mid to expert level) Intermediate knowledge of application coding and development lifecycle. Analytical (e.g., comfortable with data) and can combine an understanding of business objectives, customer needs, and data required to deliver customer experience and business results. Intermediate knowledge of data governance, data management, data architecture, data modelling concepts and data governance tooling and the complexities of data in a large financial andor highly regulated institution. Willingness to continuously develop and acquire new technical skills, learn new tools programming languages and Big Data techniques. Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and rapid change. Effective oral and written communication with the ability for analyzing, slicing, and dicing data while deriving significant insights. Natural curiosity and self-directed ability to seek out information and meet goalsdeadlines. Agile experience Very comfortable following Agile Scrum methodology.

ATS compatibility score: 89.3 (Good Fit)