Chithra Muthumayandi
London
Summary
Currently designated as Data Engineering Lead /Lead Data Consultant for over 4 years of experience in Banking & Financial IT services, Insurance and Life Science-Pharmaceuticals; coupled with deep and varied technology framework. Rich exposure in migration of legacy systems to Cloud platform (GCP/Azure) and work in all stages of product delivery starting with requirement, analysis, design, development, implementation and support of services on Data intensive integrated applications.
Proven capability working with C-suite, enterprise architects, Principal consultants; skilled at communicating with all organizational levels and cross-functional teams to develop a shared vision and foster a culture of excellence using TOGAF standards.
Overview
16
16
years of professional experience
1
1
Certification
Work History
Lead - Data Engineering
Santander UK Plc
10.2023 - Current
- Own the technical solution design and strategy documentation, adhere to company’s release and change process.
- Responsible for end-to-end solutions right from adoption of cloud technology till dashboard creation with Azure stack and Power BI reporting.
- Stay current with emerging technologies and trends and recommend improvements.
- Responsible for maintaining the DB scripts in PostgreSQL.
- Refreshing and maintaining the dashboards created in MicroStrategy & Qlik sense for senior stakeholders (recreated couple of dashboards utilizing Qlik for better functionality and visualization).
- Collaborate with C-suite stakeholders to identify the KPI’s with clear objectives and monitor them to adopt into BI solutions.
- Responsible for making technical changes to existing Data & BI systems by adopting Azure stack, perform DAX queries and functions in Power BI.
- Supported company growth by scaling existing infrastructure to accommodate increasing amounts of data.
- Enhanced data processing efficiency by designing and implementing ETL pipelines.
- Improved data quality with rigorous validation and cleansing techniques.
- Enabled faster decision-making through real-time processing and analysis of large datasets.
- Collaborated with cross-functional teams to develop tailored data solutions for business needs.
- Bridged gaps between technical requirements and business objectives through effective communication and collaboration with stakeholders.
Senior Consultant/Engineering Lead
Infosys Technologies
06.2020 - 10.2023
- Architect and implementation: Design and develop scalable, cost-effective, and secure distributed architectures and solutions, utilizing appropriate GCP and AWS services and technologies.
- Lead, manage & mentor a small team of data engineers to design, develop, and implement data platforms, pipelines, and infrastructure for our multi-cloud product across GCP and AWS.
- Data pipeline development: Design, implement, and maintain data pipelines that efficiently collect, process, and store large volumes of data from various sources, ensuring data quality and integrity.
- Performance optimization: Continuously monitor, analyze, and optimize data pipelines to improve performance, reduce costs, and ensure reliability and scalability.
- Security and compliance: Ensure that data solutions comply with relevant data security and privacy regulations, and implement best practices for securing data at rest and in transit.
- Establish & govern a project wide data catalogue where we maintain the list of all data sets across the platform with the appropriate description of the data items
- Programming languages: Actively writing code & proficiency in one or more languages commonly used in data engineering , such as Python, R, Java, or Scala. Strong problem-solving and critical-thinking skills, with the ability to break down complex problems and develop innovative solutions
- Data engineering skills: Proficiency in designing, building, developing, and optimizing data pipelines, as well as experience with big data processing tools like Apache Spark, Hadoop, and Dataflow
- Experience in designing & operating Operational Datastore/Data Lake/Data Warehouse platforms at scale with high-availability
- Data integration: Familiarity with data integration tools and techniques, including ETL (Extract, Transform, Load) processes and real-time data streaming (e.g., using Apache Kafka, Kinesis, or Pub/Sub), exposing data sets via GraphQL
- Cloud platforms expertise: Deep understanding of GCP/AWS services, architectures, and best practices, with hands-on experience in designing and implementing scalable and cost-effective solutions. Relevant cloud certifications are a plus
- Data storage and databases: Knowledge of various data storage options (e.g., relational databases, NoSQL, data lakes) and hands-on experience with managing and optimizing databases such as PostgreSQL, MySQL, BigQuery, and Redshift
- Leadership and communication: Ability to lead a team of engineers, collaborate effectively with cross-functional teams, and communicate complex technical concepts to both technical and non-technical stakeholders.
- A desire to teach others and share knowledge. We aren’t looking for hero developers, more for team players. We want you to coach other team members on coding practices, design principles, and implementation patterns
- Comfortable in uncharted waters. We are building something new. Things change quickly. We need you to learn technologies and patterns quickly
- Ability to see the long term. We don’t want you to sacrifice the future for the present. We want you to choose technologies and approaches based on the end goals.
Senior Consultant/Data Engineer
Infosys Technologies
03.2019 - 06.2020
- Establish a strong data architecture in GCP for the backend of AI/ML/DS Services supporting a SaaS product
- Build cost-efficient, low latency data pipelines into and within GCP
- Represent the interests of the RegBrain AI team in the establishment of a global data strategy at CUBE
- Assist ML engineering team to build SOTA applications on structured and unstructured data, at scale, by providing fitted data solutions
- Ensure seamless integration of RegBrain’s product features to analytics via CUBE’s data lake
- Continuously educate the ML team regarding best data practices
- Ensure reliability, completeness and quality of datasets replicated from internal sources
- Own the data governance needs of RegBrain, educate the ML Engineers on the subject
- Improve and manage ETL/ELT pipelines to the graph database(s) supporting
- CUBE's Knowledge Graph
Senior Consultant - Data Warehouse Engineer
Infosys Technologies
06.2017 - 06.2019
- Interacted with business Users and Business Analysts to understand requirements and translate to technical specifications for Report design specification documents for reports.
- Installed Qliksense server[DEV] on VM servers with Prerequisites, Clustering[Node, Rim] Qliksense server[PROD] on VM servers
- Validate license keys [LEF], Configured server [QMC, User directory connectors, Nodes, Proxies Streams, Load balancing],Created User access rules and Login access rules
- Created security groups, For Single-sign on Giving Authentication to Windows AD groups and users, LDAP.
- Created Tasks and Triggers for scheduling, updating and publishing of Qliksense Applications[QVF] and QVDs on QMC.
- Maintain Admin Activities and Troubleshooting at server side [Audit logs, Backups, Optimize, cluster management, Jmeter].
- Designing Data Modelling and Loading data from Multiple Data sources [SAP BW, SQL2008, Oracle11g, Excel, Access DB ,Teradata]
- Developed QVD's for entire model, Dimension wise.
- Developed complex reports using set analysis and analytical functions [Expressions], Extension objects.
- Using Rank analysis, Trend analysis, Multivariate analysis, Distribution analysis, Correlation analysis, Geographical analysis for user interface KPI Dashboards.
- Created training videos and Screenshots, User guide for Business users.
- Monitoring entire Qliksense Project by using QMC, Operations Monitor and license monitor Dashboards.
Senior Consultant - BI SME
Infosys Technologies
02.2015 - 06.2017
- Served as Cognos subject matter expertise, Leverage and build upon current knowledge to offer leading edge solutions
- Design and implement scalable reporting framework for developing reports across various subject areas
- Define, design, develop and deliver flexible/user friendly reports and dashboards with advanced features that meet business users' needs
- Handled QA requests for modification or changes in existing Report studio reports, Framework manager models.
- Involved in POC - migration of Cognos reports to Tableau as per business user's requirements
- Developed active reports as POC to show case feasibility of Cognos rather than to opt Tableau tool
- Performed analysis in MicroStrategy tool to check if customer complex requirements can be achieved using MSTR.
- Leading team and coordinating with other teams across vendors.
- Support and guide team to prioritize work; mentor them as and when required.
- Providing solutions to other teams in the company as part of Cognos COE team
- Served as Cognos trainer for all other project members.
Associate - DW BI Developer/SME Team Leader
Cognizant Technology Solutions, CTS
10.2007 - 01.2015
- Responsible for support and maintenance of Various BI toolset in order for Business Intelligence Group to meet reporting and analysis needs of business.
- Provide technical support to Manager Business Intelligence in development and delivery of business intelligence solutions and ongoing development and maintenance of data warehouse.
- Provide Analytics, reporting solutions and partner with other IT partners including Data, Architecture and testing teams to shape solutions
- Support design, development, testing, deployment activities
- Resolving tickets raised in Incident management
- Support technical releases and upgrade projects
- Support team to prioritize work
- Support weekly/monthly code releases and co –ordinate with line of business for migration
- Collaborate with other developers to share knowledge and best practices
- Identifying problems and collaborate with others to propose solutions in effort to solve them.
- Delivered stable, tested, customer ready solutions surpassing client expectations
Education
Bachelor of Science -
Anna University
Skills
- ETL development
- Data Governance
- Python Programming
- Big Data Processing
- Data Pipeline Design
- Real-time Analytics
- Problem-solving aptitude
- Team Collaboration
- Continuous Improvement
Certification
- Google Cloud Certified Associate Cloud Engineer
- Google Cloud Certified Associate Professional Cloud Database Engineer
Timeline
Lead - Data Engineering
Santander UK Plc
10.2023 - Current
Senior Consultant/Engineering Lead
Infosys Technologies
06.2020 - 10.2023
Senior Consultant/Data Engineer
Infosys Technologies
03.2019 - 06.2020
Senior Consultant - Data Warehouse Engineer
Infosys Technologies
06.2017 - 06.2019
Senior Consultant - BI SME
Infosys Technologies
02.2015 - 06.2017
Associate - DW BI Developer/SME Team Leader
Cognizant Technology Solutions, CTS
10.2007 - 01.2015
Bachelor of Science -
Anna University
- Google Cloud Certified Associate Cloud Engineer
- Google Cloud Certified Associate Professional Cloud Database Engineer
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