For the given job description <<As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. The job requires expertise in Databricks, a cloud-based data engineering platform.
Key responsibilities:Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success.Architect production-level workloads, including end-to-end pipeline load performance testing and optimization.Deliver tutorials and training to drive community adoption (including hackathons, conference presentations, etc.)Work closely with Engineering and Product Management to drive the direction of the Databricks product.Contribute to Databricks SME community. Required SkillsHands-on and technical expertise with Apache SparkProven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP5+ years Experience working as either: Software EngineerData Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark andor other big data solutions.Comfortable programming in Python, Scala, or JavaExperience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCPExperience with Development Tools for CICD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces. E.g. Jenkins.Excellent communication skills and comfortable presenting to strategic stakeholdersleadership.Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.Passionate about learning new technologies and making customers successfulData ScienceML Engineer experience in model selection, model lifecycle, hyper-parameter tuning, model serving, and deep learning, using tools like MLFlow desired.
 Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare, including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily-building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized backup childelder care and tutoringMentoring, coaching, and learning programsEmployee Resource GroupsDisaster Relief>> 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, Good Fit

Fit assessment: Good Fit