For the given job description <<HiETLData EngineerDallas tx-Onsite
Need only Local to DALLAS, TX- Onsite 1) Need Data Engineer with heavy Python Development Background.2) Must have worked on UNIXLINUX, Extensive Experience with SQLUnixLinux scripting is a must.3) Strong exp on AWS Cloud, Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure4) AWS Glue is must, with hold on ETL Concepts.5) Good to have Testing exp and familiarity with Test Strategies. 
Regards,Nisha JhaTechnical RecruiterNisha.j@peritussoft.com>> the resume: <<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:>>. The result is, No Fit

Fit assessment: No Fit