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Architect Resume

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SUMMARY

  • A collaborative engineering professional with substantial experience designing and executing solutions for complex business problems involvinglarge scale applications, real - time analytics and reporting solutions.Incorporated an intuitive architecture that helps organizations effectively analyze and process terabytes of structured and unstructured data.

TECHNICAL SKILLS

  • MySQL, MS SQL Server, Oracle, DB2, NoSQL
  • HBase, SAP HANA, HDFS, Cassandra, Docker & Kubernetes
  • Hive, Pig and Hadoop Streaming, MapReduce, R, Python, AI/ML using Data Quality

PROFESSIONAL EXPERIENCE

Architect

Confidential

Responsibilities:

  • Responsible for all facets of project management as it relates to strategic and tactical direction of Architecture Design, implementations. Used agile, interfaced and provided updates to Team.
  • Architect solutions for key business initiatives ensuring alignment with future state analytics architecture vision
  • Work closely with the project teams as outlined in the Agile methodology providing guidance in implementing solutions at various stages of projects
  • Adopt innovative architectural approaches to leverage in-house data integration capabilities consistent with architectural goals of the enterprise
  • Responsible for the end-to-end architecture of a Delivery, including its assembly and integration into the IT architecture principles defined with the client
  • Define the structure of the system, its interfaces, and the principles that guide its organization, software design and implementation
  • Responsible for the management and mitigation of technical risks, ensuring that the Delivery services can be realistically delivered by the underlying technology components
  • Involving in Design the Architecture of the project from scratch and integrating components
  • Both product owners and respective organizations. Breath of implementation included the following
  • Estimations, identifying the risks/issues and forecasting potential POC requirements for incompatible
  • Components from Legacy source. Participating in weekly conference sessions with business analysts
  • Creating & configuring Gitlab repo,groups,projects,Members. Gitlab CICD Pipelines Testing and deployment automation
  • Create and secure snowflake account and creating security privileges.
  • Connecting and Integrating with Snowflake Database. to Looker Dashboards Visualization, analytics
  • Kubernetes cluster to host Airflow deployments, and related network infrastructure to properly operate it inside the VPC
  • GCP Astronomer Product that enables many DevOps functions to centrally support, manage, and maintain Airflow deployments in Cloud. Includes additional services such as Grafana operational dashaboards, tied into prometheus for monitoring
  • Configure and secure AWS Bucket
  • Use Kontemplate to deploy and configure GKE Environment
  • Writing Terraform scripts and configure GCP services creating Astronomer Airflow Python-based ETL orchestration framework.

Confidential

Senior Consultant

Responsibilities:

  • Senior Consultant for Finance and Risk Data implementation.
  • Managed team of 6+ FTEs. Responsible for all facets of project management as it relates to strategic and tactical direction of implementations. Used agile, interfaced and provided updates to
  • Both product owners and respective organizations. Breath of implementation included the following functionality: Risk Mart, Credit Mart, Finance Mart and FC etc. Performed effort and time estimations, identifying the risks/issues and forecasting potential POC requirements for incompatible components from Legacy source. Participating in weekly conference sessions with business analysts and high-level architects to report project updates. Used Jira and confluence for tracking the implementation and bugs. Responsible for data ingestion from RDBMS to Hadoop using Sqoop, automating the workflow using Oozie and performing data cleansing, transformations and using spark and hive. Resolving performance issues in Spark and Hive with understanding of Spark physical plan execution and used debugging to run code in optimized way. Managed overall solution testing and defined balanced scorecard for tracking testing progress.

Confidential

Data Quality in AI/ML

Responsibilities:

  • Analyze Descriptive analysis of data based on labeled features (Categorical data, Numerical data, Ordinal, Continuous, Interventions
  • Use R and Python to implement vectors, lists, data frame, matrices, arrays, reading data from various sources like CSV, MS Excel, notepad, xml, data base Box plots, histograms, numeric and categorical variables)
  • Analyze Market basket analysis to see which products go together so that the sales people can implement the strategy of the selling the less selling products with other products.
  • Analysis of features distribution by drawing histograms, box plots
  • Knowledge in various models to study accuracy of data and relation
  • Analyze models like Regression, GLM, Random forest, SVM, CHAID
  • Model Comparison for accuracy
  • Development of dashboard using tableau for easy interpretation

Associate Software Engineer

Confidential

Responsibilities:

  • Performed Manual and Automation testing using Selenium Framework
  • Writing test cases to verify the functionality of application based on requirements
  • Involved in preparation of Functional Test Scripts using Automation tools
  • Preparation of Test case execution Reports and Defect Reports using Quality center
  • Worked extensively with slowly changing dimensions.

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