Data Science leader

Deepthi Kamath

***************@*****.***

Objective: Senior Leadership Role

SUMMARY- DATA LEADERSHIP

Seasoned professional with 17 years of expertise in IT transformation, specializing in Cloud Migration and Project Management within the realm of Data Science, Engineering and Cognitive Robotics

Demonstrated proficiency in leading cloud migration projects, encompassing the design and implementation of advanced solutions for Data Science, Data Engineering, and Data Analytics. Extensive experience in managing ETL/ELT processes, both On-Prem and in Cloud Infrastructure, coupled with a strong foundation in Business Intelligence, Data Analysis/Reporting, and Dashboard development.

Skilled in multi-cloud platforms, On-Prem to Cloud and Cloud to Cloud migrations. Subject Matter Expert (SME) in Data Architecture and Management, adept at Database Design, Data Modelling, Data Quality, Data Profiling, Data Security, and Data Governance in various industry domains like Banking, Insurance, Financial Services, Telecom, Consumer Goods, Retail, Health and Pharma

Heavily involved in technology commercialization using data insights, building On-Prem to Cloud data roadmaps and strategy, aligning the goals with the strategy, implementing the KPIs and data insights as per the roadmaps and helping the clients derive value to the business from the KPIs and insights.

Knowledge of cutting edge technologies like AI/ ML in Cognitive Robotics and Intelligent Automation. Understanding of predictive modelling and forecasting using AI/ML.

Well-versed in Project Management Principles, Agile Methodology, and Cloud technologies, with a proven track record of delivering results within budget and timeline constraints. Skilled in vendor management(RFP, SOW, SOP, Procurement and Presales), stakeholder engagement, and cross-functional collaboration, ensuring seamless coordination across teams and delivering business value through cloud migration initiatives and automation projects

About 10+ years of management and leadership experience, leading the global team of up to 35 members including RPA Analysts, Data Engineers, Data Scientists, Data Architects, Analytics and Reporting Managers, Project and Program Managers both in lean organizations and vendor onshore-offshore models.

Excellent Coach, Mentor and Leader involved in Project delivery, Estimates, Budgeting, Hiring, Resource performance evaluations and Senior leadership communication including SVP/CXO levels

TECH STACK:

Data Engineering and Architecture Tools

ETL/ELT tools - Informatica Data Management Cloud(IDMC), IICS, Powercenter, Master Data Management, Talend, Python, PySpark, Scala, Java, SAS, SSIS, R, IBM SPSS, DBT, Alteryx

AWS - S3, Redshift, Glue, Athena, System Manager, Session Manager, Crawlers, Lambda, Data Quality, Data Profiling, Data Governance, DMS, AWS Sage maker Studio, EC2, EMR, RDS, DynamoDB, Lambda, SNS, SQS, Step Functions, EFS, Glacier

Azure - Data lake, Azure DevOps, Azure Artifacts, Azure Data Factory, Containers, Clusters, Resource Group, Vnet

GCP - Big Query, Dataproc, Dataflow, Cloud Storage, Pub/Sub, Google Data Studio, Looker, Docker, Kubernetes

Databricks - Notebook, Jobs, Clusters, Data tables and files, Apache Spark

Snowflake - Tables and Warehouse, Snow SQL, Snow pipe

Version Control - GitHub CI/CD Repo, Bitbucket

Schedulers – Autosys, Airflow, TWS, ControlM

Reporting, Dashboard and Visualization - SSRS, SSIS, Business Objects, Siebel Analytics(OBIEE), Xcelsius, Cognos Impromptu, Cognos Analytics, PowerBI, Qlik, Tableau

Database - RDBMS Oracle, IBM DB2, MS SQL Server, MS Access, Toad for Oracle, WINSQL, PL/SQL Developer, SQL Developer, SQL* Plus, Pervasive File DB system, DB2, Teradata, MLOAD, BTEQ, Statistical files IBM SPS, MySQL, NoSQL

Data Modelling - ER Studio, Erwin, AWS, Teradata, DB2, Azure SQL, Big Query, Snowflake, Databricks

Testing Frameworks - Unit, SIT and UAT testing, RPA driven automated robotic data testing, Date testing, Cucumber Testing

Data Governance/ Security- IICS CDQ and CDP, DMBOK Principles, Protegrity, Comforte

Complex Files – JSON, AVRO, ORC, Parquet, XML

Agile – JIRA, Azure DevOps

Change Management - ServiceNow

Other Tools and skills:

RPA automation, Intelligent Automation, Image Recognition, Optical Character Recognition, Computer Vision, Digital worker Orchestration using UiPath

Knowledge of Machine Learning,Generative AI, NLP, Chatbot, ChatGPT

Programming Languages Python/R, SQL, PL/SQL, UNIX Shell Scripting, C, C++, C#, .NET concepts, DOS Scripting, VB Script, Java, Eclipse Java EE IDE, Java and Spark APIs

Operating Systems Windows 10, Mac OS, Windows7, XP, 2000, LINUX, Distributed Systems, Windows Server 2003/2008 infrastructure and architecture, Mac

Vendor/Partner Management with Princeton Financial Systems for Pam for Investments and Pam for Securities in Financial Asset Management Systems, Deloitte, Accenture, Wipro, Infosys, Informatica, Microsoft, Google, Snowflake, Atlassian, Amazon, UIPath, IBM, TCS, Amdocs

Other Tools Putty, FileZilla, PAM for Securities, PAM for Investments, SQL Loader, Siebel CRM, Siebel Config, Siebel EIM, Siebel EAI, MS Sharepoint, Cygwin, Anaconda, Jupyter Notebook

EDUCATION:

Bachelor of Technology in Computer Science, BMSCE, Bangalore, India

Master of Computer Science with Business Specialization, IIT Chicago, IL

PROFESSIONAL EXPERIENCE

CIBC, Chicago,

IL, 01/2024 - Present

Sr Consultant – Cloud Data Director (Contract to Hire- Remote)

Reporting to Sr Director, 8 direct reports, team size 14

●Help Build, Grow, Train, and Lead the Data Engineering team comprising of about 8 employees 4 contractors and 2 dotted resources

●Collaborate with the enterprise level architects to help build organizational terms for cloud size with SAAS, PAAS and IASC strategies for about 2000 users application to derive the optimal ROI for cloud data management

●Provide technical leadership in Data lake design in Cloud, ETL streaming and batch, big data processing, Data warehouse, conversion and integration projects

●Establish architecture and reference implementations for Data model and Data Visualization

●Help Build data strategy and roadmap for data center exit project for complete migration of legacy applications to cloud infrastructure

●Help Build and execute strategy for Business intelligence platform from legacy to cloud, consolidating about 8 reporting tools to 4 tools in the next 2 years and 2 cloud reporting BI platforms in the next 4 years. Determine the timeline and milestones for complete BI Platform consolidation project.

●Lead Data product scrum teams collaborating with business partners across domains

●Operationalize the Cloud conversion projects( Azure, Snowflake, Talend, Git, Tableau, Cognos, Data Governance and Security) valued at over $10 million

●Convert more than 300 Talend legacy mappings to cloud infrastructure as source for reporting on Tableau Desktop and Cognos

●Work closely with business to decompose the existing Tableau and Cognos reporting framework, create, modify, test and validate reports

●Influence the data validation and testing framework by building QA team along with the collaboration of QA director

Verizon, Basking Ridge,

NJ, 09/2021 - 12/2023

Manager, Data Management( Full Time - Remote)

Reporting to Director, 6 direct reports, team size 35

●Single Point of contact for data conversion projects from legacy Hadoop big data eco system to cloud AWS- S3- Snowflake eco system

●Participated and provided inputs to enterprise level Architects to design the cloud data architecture. Influenced the architectural decisions from raw data source to Standard to Curated to Conformed to Reporting layers

●Led the design and implementation project team to deliver the IICS pipelines with AWS-GIT integration within budget and timeline

●Strategized the use of Snowflake tables based on the domain and functionality within the architecture framework

●Influenced and Incorporated Data Masking Strategy with Protegrity for PII data before data loads into Snowflake

●Designed and implemented error handling and audit control strategies and tables within Snowflake

●Converted all data interfaces written in various legacy application like Informatica, Python, Spark and Scala to IICS pipelines, PySpark, Glue jobs. Deployed the MLOps pipelines on AWS /GIT to production. Simultaneously led multiple data conversion teams that operationalized migration of legacy mappings to IICS pipelines on AWS to create the datasets on Cloud Infrastructure.

●Design IICS mappings for HDFS sources including complex files like parquet, avro, orc, json and target raw and staging layers of S3 to target Snowflake

●Incorporated Data Governance Standards by collaboration with the Governance specialists at the organizational level as per DMBOK guide and best practices. Knowledge of regulatory requirements and compliance for data privacy and security.

●Involved in the Statement Of Work and Budgeting aspects of Vendor Management. Single Point of contact and leader for offshore team members across 3 different vendors constituting of about 35 members

●Involved in Go-To-Market, Budgets, Procurement, Implementation and Operations of SAAS applications within the Verizon Communications, Media and Ad- Tech space

●Led work streams responsible for $15 million+ budgeted projects that were on critical path for Cloud transformation successfully and achieved up to 25% growth in revenue with Cloud optimization

US Cellular Corporation, Madison, WI, 04/2014 – 08/2021

Sr Data Catalog Manager (Full time - Hybrid)

Reporting to Director, 4 direct reports, team size 18

●Responsible as delivery lead for data management across the Business, Government and Consumer applications end to end

●Solution architect for the Business intelligence and Analytics team to drive the Cloud Infrastructure, BI roadmap, Cloud Best practices, Cloud maintenance, Cloud Performance, SAAS, PAAS and Cloud Strategy.

●Led the teams that conducted POCs for Snowflake, Google Cloud and AWS Suite to adapt for possible Cloud migration and integration

●Successfully migrated several data projects from On-Prem to Cloud using AWS Suite and GIT CI/CD integration

●Collaborated with the teams across IS, Marketing and Revenue Operations, Centre Of Excellence and Emerging Technologies teams to determine the projects qualified for Robotic Automation that’s cost effective

●Supervised the RPA team for day to day operations of testing framework implementation. Created reusable unattended and attended RPA Bots for validation of datasets created by the cloud IICS AWS pipelines for more than 500 mappings. Expanded the data testing and validation automated testing strategy at the organizational level and spread awareness across teams.

●Mentored and coached the data engineers, data scientists and RPA analysts to enhance and leverage their skills and performance to meet the individual and team goals. Trained and coached a team of 18 members in Referential data analysis for all domains and Robotics Process Automation(RPA).

●Resource manager involved in hiring, mentoring and coaching the team to meet the broader vision of the CDO

●Act as liaison between Marketing, Accounting teams and IS for Analytics Data and Automation requirements

Deloitte, Minneapolis, MN, 08/2012 -04/2014

Onsite Project Manager for Production Support and Development Projects in distributed environment applications for owned and managed assets. Successfully led an upgrade project within timeline and budget with limited resources contributing to significant revenue growth.

Egen Solutions, Naperville, IL, 01/2010 – 08/2012

Onsite Project and Resource Manager for technical delivery of ETL projects Successfully delivered multiple Analytics, Reporting and Dashboard projects. Worked for Healthcare administration company that manages HAS/ FSA plans. Therefore familiar with EPIC, HIPAA and PII sensitive data integration.

Accenture, Bangalore, India,07/2006-01/2009

ETL/Siebel Technical Lead for three major clients’ data integration, legacy applications conversion, business as usual operations and development projects

Microsoft, Bangalore, India, 06/2005 – 05/2006

Intern at Student’s academic project called smart software detector that was recognized by Microsoft and the idea was worked up further in Microsoft.

AWARDS AND CERTIFICATIONS

●Dynamic Star Award – US cellular

●WAVE Leader - Women’s Org, Verizon

●Representative from US Cellular in SWE Organization (Women in Engineering)

●Applause Award – Deloitte

●Oracle Siebel CRM Certification

●Member of Oracle Siebel Training, Accenture India

●Super Achiever, Accenture India

●ACE Award, Accenture India

Contact this candidate