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: <<ProfileHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Core QualificationsExpertise in Full project life cycle development for implementation and integrationMotivational and co-ordination skills with ability to deliver systems on scheduleAnalyze and drill data marts for Information MiningChange Management Process for Data QualityExperienced in Requirement Analysis, Test Design, Test Preparation, Test Execution, Defect Management, and Management Reporting.Experienced in developing Data Mapping, Performance Tuning and Identifying Bottlenecks of sources, mappings, targets and sessions.Experienced in development of ETL mapping and scripts. Understand , Debug of ETL jobs, for transforming data , remove duplicatesExperienced with Batch systems scheduling and processing.JAD sessions to determine the requirements for Purchase Order Requisition Conceptual ModelExperience with large enterprise data warehouse (OLAP) architecture design including logical and physical model development.Data models and enterprise data models.Expertise in extracting and transforming large data-sets; experience with ETL tools like IBM Infosphere Data Stage, SSISExperienced working with offshore vendors and establishing offshore teams and processes.Demonstrated experience with database technologies (e.g. Oracle, MS SQL Server, Sybase, MySQL).Move data from Oracle to Sybase using Sybase gatewayExperience with hybrid cloud platforms, Oracle VM ServerHands-on experience with production reporting and BI platformsSetup Oracle RAC clusters for Production and Non-Production environment
Professional ExperienceLead Data/Database Architect,12/1993-12/1994–,,Worked collaboratively with team members using Microsoft Lync / Webex; Led/coordinated meetings between multiple time zones with both on/offshore team members.Provided findings with questions to business analysts for verification; provided metadata such as allowed values, defaults , constraints , domain inconsistencies, data layouts for flat files etc.for reference to data modeling or ETL team.Worked on TXBase ERP software for Inventory Systems at the factory Worked on Shop Floor in understanding the movement of items from bins to factory floor Understand and identify data relationship for inventory of items and automating of Issues/Receipts using scanner software Design and Creation of models  for maintaining Product receivables and issues Generation of reports of stock ledger for use by purchase department for ordering of new items Schedule of quotations and Bill of materials for each items Building of large database in Sybase System 10 for inventory and Materials Generation of Purchase Orders from quotations.Design and Creation of tables for each process Change Management Impact analysis of data.Sr Programmer/Systems Analyst,11/1988-12/1993NA–,,JAD sessions to determine the requirements for Purchase Order Requisition Conceptual Model Designed Logical and Physical Data Models.Analyzed Source Data to determine what meta-data was to be included in the Logical Data Model Performed data mapping to determine where identified source data belonged in the Data Base.Created Forward Engineered SQL from Case Tool, which was loaded to build and maintain the Data Base.Used Transact SQL to load data into Sybase/MSSql Server to load Source Data into the Data Base Designed tables for Bank reconciliation system , Purchase Order requisition System Identified Attributes , Entities and converted into Physical tables for different account heads related to company Purchase Order Requisition System towards identifying of customers , supplier rates , deviation from scheduled delivery dates.Designed tables related to generation of Max/Min Levels of Inventory in hand for production Reports for cost of total stock in hand Installation of audit trail for the system for changes made and a report to management about date-time of change Enforce data integrity using Primary key , Foreign key and Composite Key Identifying Indexes on tables for optimum data retrieval Residency Status: United Sates Citizen.Senior Data Technical Solutions Architect,-–,,Responsibilities at AIG: Provide production support to various Oracle/Sybase/Microsoft database environments across enterprise.Developed Dump/Restore Scripts for Sybase.RMAN backup scripts Hot/Cold backup and Datapump scripts for Oracle.Setup automated alerts for Disk Space monitoring, Database Server Up-time monitoring, thru CA ProNet.Oracle/Sybase security patch updates on database home , when available through scheduled Change Tickets.Autosys job scheduler for scheduling jobs, viz Backup/Dump/Datapump Database Upgrade to Newer versions, in order to maintain support from Software vendor.Work with application teams on upgrade schedule.Setup test servers/database for upgrade testing.Written security stored procedures as required by compliance for password security.Server, query, application performance tuning when there is deterioration in query performance.Reverse engineer physical database to logical models when needed using Powerdesigner/Embarcadero/Er-win as needed for identifying table/data relationship.Schedule time with Unix engineers for SAN migrate of datafiles/databases between storage , if database needs to be migrated to a new host.
EducationTraining from IBM in Datastage/Parallel Extender, Infosphere Datastage 
Training in LDOM , RAC , In-Memory Database from Oracle University
Project Management Training towards Certification
Masters In Administrative Management - Mumbai University:,Expected in--,GPA:Status-
SkillsAdministrative, Backup, Bank reconciliation, BI, Case Tool, Change Management, CA, data modeling, data warehouse, databases, Data Base, Database, Datastage, delivery, engineer, ERP, Er-win, ETL, gateway, IBM, Inventory, ledger, Management Reporting, Materials, Max, meetings, Memory, MySQL, enterprise, OLAP, Oracle, processes, Project Management, Quality, reporting, Requirement, SAN, scanner, scheduling, servers, Scripts, MS SQL Server, MSSql, SQL, Sybase, tables, Transact SQL, Unix, Upgrade, VM, Written>>. The result is, Potential Fit

Fit assessment: Potential Fit