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  Job Title Data EngineerLocation San Francisco Fully RemoteDuration 4 Months Contract Possible of ExtensionJob Description The data science foundations team is looking for an experienced data engineer contractor to help establish a unified data model that will support our analytics initiatives and build scalable infrastructure for data teams.Responsibilities Data modeling build and refactor data marts automate the enforcement of best practices and design principles where possible Data pipeline development and optimization develop new data pipelines and ETL processes and enhance the efficiency of existing ones to reduce cost and improve landing times and SLAs. transition data pipelines to dbt and create features that allow data scientists to utilize the platform. Build scalable systems Build systems to automate monitoring and alerting for data anomalies Build internal data products to automate workflows and reduce manual workExperience Knowledge of structured data base systems and data modeling principles Experience writing and optimizing complex SQL queries. (Snowflake preferred) Familiarity with data visualization tools (Superset, Looker preferred) Experienced in object-oriented programming (Python) Experience working with orchestration systems (Airflow preferred) Experience working with Github Data governance experience preferred but not requiredSkills Knowledge of structured data base systems and data modeling principles Experience writing and optimizing complex SQL queries. (Snowflake preferred) Familiarity with data visualization tools (Superset, Looker preferred) Experienced in object-oriented programming (Python) Experience working with orchestration systems (Airflow preferred) Experience working with Github Data governance experience preferred but not requiredEducation Bachelor s degree.About US Tech Solutions US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. Recruiter Details Name Yamsani SaiprakashEmail yamsani ustechsolutionsinc.comInternal Reference Id 23-25759

ATS compatibility: Potential Fit (score: 58.9)