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Lead Systems Architect Resume

SUMMARY

  • 8+ years of work experience in IT Industry in Analysis, Architecture, Design, Development and Maintenance of various software applications in system design, implementation, unit, integration and system maintenance.
  • 8+ years of experience as Data Analyst and Analytics Engineer
  • 4+ years of experience using/implementing Python in Bigdata platforms
  • 5+ years of experience in practice and application of Data Analysis in Python, Matlab, R.
  • 5+ years of experience at Splunk, in Splunk developing dashboards, forms, SPL searches, reports and views, administration, upgrading, alert scheduling, KPIs, Visualization Add - Ons and Splunk infrastructure.
  • 4+ years of experience with Tableau
  • Splunk Architect with experience in infrastructure design and implementation as well as consulting IT compliance, security and solutions.
  • 2+ year of hands on experience in implementing and using CI/CD framework technologies such as Jenkins
  • Experience in configuring, implementing, analyzing and supporting Splunk server infrastructure across Windows, UNIX and Linux. Experience with a variety of Operating Systems, Protocols and Tools depending on the type of platform or application to be administered.
  • Worked on platform Architecture and Capacity planning also on several platform Upgrade and Optimization
  • Headed Proof-of-Concepts (POC) on Splunk Enterprise implementation, mentored and guided other team members on understanding the use case of Splunk.
  • Expertise in BigData, Hadoop, Splunk, JVM, Python technologies
  • Experience with platforms such as Ansible, Puppet and Chef.
  • Familiar with Service Oriented architecture and web services integration (SOAP, REST KPI)
  • Good experience in working with web services like Amazon EC2, AWS and Amazon S3.
  • Familiar with JSON based REST Web services and Amazon Web Services(AWS).
  • Experience in developing applications using amazon web services like EC2, Cloud Search, Elastic Load balancer ELB, Cloud Front, Route 53.
  • Experienced in performing on-demand and stratified data analyses.
  • Experienced in handling multiple projects at same time, delivering highly efficient product.
  • Experienced in Advanced Analytic Development and Predictive Analytic development for real data.
  • Well-developed leadership and decision-making abilities with excellent communication skills.
  • Strong team player with excellent organizational skills and can work independently with minimal supervision

PROFESSIONAL EXPERIENCE

Lead Systems Architect

Confidential

Responsibilities:

  • Lead Systems Architect for Data Quality division at Confidential Power and Water.
  • Developed and deployed Splunk infrastructure and related solutions as per business requirements and automation toolsets.
  • Monitoring Domain Controller server to push Active Directory logs to Splunk.
  • Splunk expert level understanding with Splunk Enterprise in CIM, Data models, Event management and Tags
  • Knowledge expertise and experience with Normalization and Data Modeling, specifically in a Splunk environment
  • Articulated and conveyed advanced technical concepts in presentation on face-to-face related to designing/developing processes that can be understood and followed by Splunk developers and administrators
  • Developed new algorithms for analyzing Data gaps in Python.
  • Created Web services with RESTful API using Python and Flask.
  • Created an automated file backup module that backup 4x25 TB data modules with 4x1.25TB/day on a 64-core processer
  • Supervised projects to ensure appropriate environments are available and setup.
  • Defined the workflow and schedule to implement the release in the Production/Pre-Production environments, as well as performing the release implementation activities.
  • Developed and deployed Modules in Predix platform using Cloud Foundry
  • Created Web services with RESTful API using Python and Flask.
  • Various types of charts alert settings Knowledge of app creation, user and role access permissions in Splunk.
  • Created dashboards and established database connectivity in Tableau
  • Developed and implemented Unit Test Cases, Performance Test cases and User Test cases using Python
  • Created GUI for enhanced data visualization for creating statistical models using QT Designer and Python
  • Created Python modules to connect databases and validation tools and reduced SDLC time by 30%
  • Provide regular support guidance to Splunk project teams on complex solution and issue resolution with the objective of ensuring best fit and high quality.
  • Interact with the data warehousing team regarding extracting the data and suggest the standard data format such that Splunk will identify most of the fields.
  • Analyzed large datasets to identify metrics, drivers, performance gaps and opportunities for improvement
  • Deployed Splunk DB Connect 2.0 addon in search head cluster environments of Oracle, MySQL
  • Performed extensive GAP analysis in the project as there were numerous 'As-Is' and 'To-Be' conditions.
  • Building, publishing customized interactive reports and dashboards, report scheduling using Tableau server.
  • Created action filters, parameters and calculated sets for preparing dashboards and worksheets in Tableau.
  • Restricted data for users using Row level security and User filters.
  • Developed Tableau visualizations and dashboards using Tableau Desktop.
  • Developed Tableau workbooks from multiple data sources using Data Blending.

Data Scientist

Confidential

Responsibilities:

  • Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across bank's product and service offerings.
  • Supported Reliability analysis of new products (NPI) by standardizing data logging schemes and visualizations
  • Developed data-gathering and reporting structures from the ground up and strategized methods for getting the most out of the system.
  • Implemented machine learning techniques using Python and MATLAB on machine data and achieved a component failure detection of 94%
  • Evaluated processes and data, identifying productivity gains and sales growth within digitization segment.
  • Analyzed and identified failure trends of components based on hardware, age and seasonal behavior.
  • Leveraged analytics to drive business development, productivity and process improvement and marketing strategies, including customer lifetime modeling, acquisition, retention, win backs and monetization.
  • Developed new analytical methods and tools as required and collaborate with internal stakeholders to establish new data streams to improve overall data quality and reduce data volume using Python.
  • Developed novice data visualization techniques to create more effective communication of complex data in Splunk (a BigData environment).
  • Implemented data analytics to be an integral part of New Ways of working initiative to improve Freestyle working DNA.
  • Responsible for documenting the current architectural configurations and detailed data flow and troubleshooting guides for application support.
  • Involved as a Splunk Admin in capturing, analyzing and monitoring front end and middle ware applications.
  • Worked with Client engagements and data onboarding and writing alerts, dashboards using the Search Processing Language (SPL).
  • Various types of charts alert settings Knowledge of app creation, user and role access permissions in Splunk.
  • Developed capability to implement predictive maintenance in new equipment platforms by implementing data mining architecture, modeling standards, reporting and data analysis methodologies.

Senior Engineer

Confidential

Responsibilities:

  • Lead Engineer for MATLAB Analytics development.
  • Developed new algorithms for complex analytics using MATLAB.
  • Demonstrated performance gains in existing analytics by performing execution time reduction along with memory optimization.
  • Developed Equipment Level Predictive analytics of Gas Turbines and Steam turbines and Plant Level Predictive analytics that involve Gas Turbines, Steam turbines, and Condensers.
  • Key contributor in development of BigData architecture implementation for real time data analytics.
  • Reduced full software development lifecycle (SDLC) by implementing software development tools (revision control, testing frameworks, validation tools, build scripts/tools, issue/bug/defect tracking)
  • Performed Root Cause Analysis and proposed DFMEA to investigate defects observed in different analytics.
  • Created a Validation Test bed that reduced the analytic development cycle time by 60%
  • Created .dll and .jar libraries for Analytics in .net framework to be deployed in web based applications.
  • Created store procedures using SQL for Data logging and well experienced with Data Warehousing.
  • Supported other applications and collaborated with multiple project teams for Monitoring and Diagnostics of Thermal power plants.

Mechanical Designer/Drafter

Confidential

Responsibilities:

  • Read and interpret blueprints, technical drawings, schematics, and computer-generated reports.
  • Research and analyze customer proposals, specifications, manuals and other data to evaluate the feasibility, cost, and maintenance requirements of designs.
  • Documentation that include submittal and Installation and Operation Maintenance (IOM) manual for customer installation and maintenance.

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