Data Analyst Agile Scrum

Fareed Mohammed

*********@*****.*** Austin, Texas

PROFESSIONAL SUMMARY

Data Analyst with 4+ years of experience specializing in data integration, analytics, and reporting across diverse technology environments. Core expertise includes PL/SQL development, Oracle Exadata and 10g database management, and advanced data pipeline optimization. Skilled in designing metadata schemas, implementing table partitioning, and tuning indexes to support large-scale analytics initiatives. Proficient with Snowflake, Google BigQuery, and Amazon Redshift, alongside strong command of Microsoft Excel for business analytics and reporting. Experienced in KYC data validation, wholesale credit analytics, and supporting client onboarding workflows. Adept at collaborating within Agile Scrum teams to define requirements, estimate project efforts, and deliver well-tested solutions. Recognized for analytical thinking, attention to detail, and the ability to communicate complex data concepts effectively to both technical and business stakeholders.

TECHNICAL SKILLS

Databases: Oracle Exadata, Oracle 10g, Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse

Agile & Testing Tools: Agile Scrum, Automated Test Scenarios

Programming and Scripting: PL/SQL, Microsoft Excel Macros, SQL

Analytics & Reporting Tools: Microsoft Excel, Microsoft PowerPoint

Data Integration & Pipelines: Data Ingestion Pipelines, Metadata Schema Design, Table Partitioning, Index Tuning, Pre-Aggregation Strategies

Business & Compliance Platforms: KYC Data Validation, Wholesale Credit Analytics, Client Onboarding Workflows

WORK EXPERIENCE

MachEye, Data Analyst Nov 2023 - Present

●Developed and maintained complex PL/SQL queries and stored procedures to support real-time data analysis and interactive insight generation within MachEye’s AI-driven analytics platform.

●Built data ingestion pipelines integrating Snowflake, BigQuery, Redshift, and Synapse with Oracle Exadata to ensure seamless data connectivity, freshness, and optimal query performance across enterprise datasets.

●Created and optimized metadata schema to capture data lineage and provenance, improving transparency and supporting robust audit trails for analytics workflows.

●Improved query efficiency and reduced latency by tuning indexing, pre-aggregation, and table partitioning strategies in Oracle 10g and Exadata environments.

●Developed automated test scenarios and validation routines using PL/SQL and Microsoft Excel to ensure data accuracy and reliability for self-service analytics users.

●Designed reusable UI components that wrapped natural language search results, making analytics accessible for business analysts, executives, and operations teams.

●Delivered clear documentation and business summaries for both technical and non-technical stakeholders, supporting smooth onboarding and adoption of new analytics features.

●Worked closely with product teams to define requirements, estimate development effort, and prioritize analytics enhancements within an Agile scrum environment.

●Utilized Microsoft Office suite to prepare visualizations, presentations, and reports that communicated actionable insights and key findings to cross-functional teams.

●Monitored data pipeline health and implemented observability checks to ensure data integrity, timely updates, and smooth integration with MachEye’s AI-augmented experiences.

Sifflet, Data Engineer Jun 2021 - May 2023

●Developed robust PL/SQL queries and stored procedures for wholesale credit analytics, supporting compliance requirements and streamlining KYC data validation across financial onboarding applications.

●Designed and executed test scenarios to validate integration of Oracle Exadata data sources with client onboarding workflows, ensuring reliable and secure data exchange between business systems.

●Built automated Microsoft Excel macros to consolidate and visualize key risk metrics, enabling business users to monitor onboarding status and credit product performance with minimal manual effort.

●Created business requirement documents and user stories for enhancements to KYC data pipelines, collaborating with product owners and scrum teams to prioritize delivery in agile sprints.

●Analyzed complex data flows between onboarding, credit, and compliance modules, mapping end-to-end processes to identify integration gaps and recommend process improvements.

●Presented technical findings and executive summaries to cross-functional teams, tailoring communication style to both technical stakeholders and non-technical business leadership.

●Evaluated new data interface requirements by developing proof-of-concept queries and prototype integrations, reducing potential implementation risk for credit product launches.

●Estimated effort and resource needs for multiple onboarding and data enrichment projects, balancing priorities in a fast-paced environment with minimal supervision.

●Guided team members in the adoption of best practices for PL/SQL query optimization and Oracle 10g data management, fostering a collaborative and high-performing work environment.

●Utilized Microsoft Office suite to document project milestones, track financial estimates, and prepare status reports for enterprise and government clients involved in technology modernization initiatives.

EDUCATION

Master of Science, Data Analytics

Indiana Wesleyan University

Bachelor of Technology, Civil Engineering

Jawaharlal Nehru Technological University

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