Accomplished Lead Data Analyst with extensive experience at Cisco Systems, adept at managing and leading teams to deliver data-driven insights and scalable data solutions. Proven expertise in Snowflake, Oracle, SAP HANA, SQL, Tableau, and Python to design robust ETL pipelines, implement advanced analytics solutions, and develop impactful dashboards for senior leadership. Skilled in data warehousing, data engineering, business analysis, data visualization, and data modeling, with a strong background in building and optimizing workflows for data extraction, transformation, and integration. Demonstrated ability to orchestrate the lifecycle of enhancement requests from requirement gathering to implementation, ensuring efficiency and scalability. Experienced in handling data pipelines, automating processes, and enabling seamless integration between disparate systems. Strong capabilities in stakeholder engagement, operations management, and leveraging modern data engineering practices to drive strategic decision-making through innovative data solutions.
Team Leadership and Stakeholder Engagement:
-Managed and led a team, engaging with Business Executives and Stakeholders to translate business needs into actionable technical solutions.
-Conducted technical and functional design discussions, creating wireframes, and ensuring alignment with stakeholder requirements.
Snowflake Development and Optimization:
-Designed and implemented scalable data pipelines utilizing Snowflake components like File Formats, Stages, Snowpipe, Streams, and Tasks for automated and near real-time data processing.
-Developed optimized Snowflake SQL queries and procedures for efficient data transformation and complex business logic implementation.
-Implemented clustering keys and performance tuning techniques to optimize large dataset queries and improve processing times.
Data Integration:
-Built and maintained ETL/ELT workflows using Matillion and Fivetran, ensuring seamless integration of data from various sources into Snowflake for centralized analytics.
-Automated ingestion of semi-structured data (JSON, Parquet) into Snowflake and flattened data using VARIANT columns and FLATTEN functions.
Data Modeling and Warehousing:
-Designed robust data models in Snowflake, aligning with business requirements to enhance analytics and visualization layers.
-Developed a dimensional model (star and snowflake schemas) for efficient querying and seamless integration with Tableau dashboards.
Analytics and Visualization:
-Created advanced Tableau dashboards powered by Snowflake to deliver actionable insights for Cisco's Senior Leadership.
-Implemented backend logic in Snowflake for analytics solutions such as Customer Segmentation, Churn Prediction, and Market Basket Analysis.
Python for Data Engineering:
-Developed Python scripts for integrating with Snowflake, automating ETL tasks, and managing embedded passwords in Tableau workbooks.
-Created Python-based workflows to extract data from Oracle, SAP HANA, and Snowflake for processing and publishing in Tableau.
Data Governance and Security:
-Ensured compliance and governance by implementing role-based access control (RBAC) and masking policies in Snowflake.
-Managed secure data sharing between internal and external accounts using Snowflake Secure Data Sharing for collaboration.
Operations and Maintenance:
-Oversaw the internal operations team, ensuring system maintenance, support, and execution of critical enhancements.
-Monitored Snowflake warehouses and pipelines for performance and cost optimization.
Data Engineering and Integration:
-Managed data ingestion workflows from diverse sources into Snowflake, Oracle, and SAP HANA, using Python scripts and manual loading techniques.
-Designed and implemented ETL pipelines for structured and semi-structured data, ensuring seamless integration into the Snowflake system for downstream analytics.
-Created and loaded tables in SAP HANA, optimizing them for visualization and reporting requirements.
Backend Development and Optimization:
-Developed Packages, Procedures, and Functions in Oracle and SAP HANA to automate data transformation and ensure data consistency.
-Built Attribute Views, Analytical Views, and Calculation Views in SAP HANA to aggregate data and prepare it for visualization in Tableau.
-Wrote complex SQL scripts and backend logic to clean, model, and enrich data, meeting the requirements of business executives and visualization teams.
Data Governance and Modeling:
-Implemented robust data modeling techniques using Oracle, SAP HANA, and Snowflake to create scalable and query-optimized structures for analytics.
-Ensured accurate data cleaning and preparation for key datasets like Bookings, Revenue, Pipeline, Competitor Data, Install Base, and Service Agreements.
Visualization Support and Analytics:
-Created curated datasets and data models tailored for Tableau dashboards, optimizing performance and flexibility for interactive reports.
-Developed information views in SAP HANA to ensure accurate and efficient visualization of business-critical KPIs.
Data Visualization Expertise:
-Designed interactive and insightful Tableau dashboards for diverse business teams, including Sales, Finance, Marketing, Product Management, and Customer Success teams.
-Utilized advanced Tableau features such as LOD Expressions, Calculated Fields, Parameters, Joins, Blending, Groups, and Dashboard Actions to meet complex visualization requirements.
-Enabled actionable insights through dashboards focused on critical metrics like Customer Trends, Subscription Analytics, and Revenue Insights.
End-to-End Solutions Delivery:
-Collaborated with stakeholders to define requirements, develop technical solutions, and implement end-to-end pipelines integrating backend data processing with frontend visualization.
-Ensured data accuracy and timeliness for all visualizations, directly impacting strategic decisions made by senior leadership.
Data Engineering and Development:
-Developed and optimized Packages, Procedures, and Scripts to implement complex functionalities and business requirements in Snowflake, Oracle, and SAP HANA.
-Designed and tested backend processes to support cross-functional data requirements, ensuring high performance and scalability for production systems.
-Committed code to Crucible for peer review, following best practices in coding standards and deployment processes.
System Knowledge and Documentation:
-Acquired comprehensive functional knowledge of the existing system, documenting workflows, dependencies, and data pipelines to enhance team understanding and onboarding.
-Conducted impact assessments for changes in cross-functional applications, ensuring seamless integration and minimal disruption to the production environment.
Application Support and Issue Resolution:
-Coordinated with the Application Support team to identify and resolve critical issues during post-go-live phases, ensuring system reliability and user satisfaction.
-Monitored and analyzed cross-functional changes, collaborating with stakeholders to address potential risks and their impact on application performance.
Stakeholder Collaboration:
-Engaged with Cisco leaders and clients to address and manage their requirements, ensuring alignment with organizational goals and providing real-time updates on progress.
-Facilitated Knowledge Transfer (KT) sessions for Application Support and Cross-Functional Teams, ensuring smooth transitions and consistent system knowledge.
Cross-Functional Impact Assessments:
-Collaborated with IT and business teams to monitor changes in interdependent systems, performing detailed impact assessments and implementing mitigations.
-Maintained proactive communication with cross-functional stakeholders to align on application changes and enhancements.
Leadership and Post-Implementation Support:
-Provided post-go-live support, collaborating with application teams to ensure system stability and performance in production.
-Led initiatives to improve system processes and streamline workflows, ensuring long-term maintainability and efficiency.
Data Issue Resolution:
-Conducted root cause analysis for performance issues in Concurrent Programs and PL/SQL procedures, collaborating with development teams to implement optimized solutions.
-Designed and executed Production Data Fixes (PDF) for resolving critical data issues, ensuring data integrity and compliance across applications.
-Created complex SQL queries for on-demand ad-hoc reports requested by clients, delivering actionable insights on tight timelines.
Monitoring and Performance Optimization:
-Continuously monitored production environments, ensuring optimal performance of Concurrent Programs and resolving bottlenecks proactively.
-Identified and resolved performance inefficiencies in production data pipelines, contributing to overall system stability and speed.
Requirements Analysis and Impact Assessment:
-Analyzed business requirements for new projects, conducting detailed impact assessments to ensure seamless integration with existing systems.
-Collaborated with cross-functional teams to address dependencies and risks associated with new developments and updates.
Incident and Escalation Management:
-Managed customer-raised incidents, providing timely resolutions within agreed SLAs and prioritizing tasks based on severity and business impact.
-Acknowledged and resolved client escalations, ensuring high-priority issues were addressed with minimal downtime or disruption.
Collaboration and Knowledge Transfer:
-Attended Knowledge Transfer (KT) sessions for new application changes and updates, ensuring smooth transitions between development and support teams.
-Shared insights and conducted KT sessions for cross-functional teams to enhance operational knowledge and system understanding.
Stakeholder Reporting and Insights:
-Delivered ad-hoc reports to stakeholders using advanced SQL techniques, providing insights into application performance and key metrics.
-Ensured clear communication with clients regarding issue resolutions and progress updates for ongoing incidents and projects.