Verified recordSoftware Development

Aashish Rajendra

Business Intelligence Engineer at Amazon

Based in Luxembourg, Luxembourg

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Seniority

Staff

Department

Information Technology

Location

Luxembourg

Industry

Software Development

Company size

767K

Contact information

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Email

1 credit

a•••••••@amazon.com

Phone

5 credits

+352 ••• •••• ••••

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Background

About Aashish Rajendra

As a Technical Consultant/Manager with substantial experience in the Consulting & IT industry, I have achieved an optimal balance between technical sophistication and client satisfaction. I am passionate about carving meaningful-purpose-oriented information from raw-disparate-scattered data and similar operations. I have led multiple Business Intelligence engagements and successfully delivered to clients across diverse cultures & geographies, viz - Australia, Middle East, US, South Africa, UK, Benin and India. Highlights- Proactive management skills in planning / designing / documenting key aspects like - Project Charter, Project Timelines, Testing Strategy and Deliverables presentation - Chosen as a Business Intelligence assessing officer which resulted in proven savings of 9 million USD by designing and executing a roadmap to efficient target state - Designed multiple KPI frameworks to capture KPI details with automated mechanism to rank KPIs on their usages, recommend KPIs for drill downs and phase out dormant ones - Established data processes on Azure Data Lake using parameterized Pipelines - Expert in senior management reporting & know-hows of CXO focused storytelling - Immense ability to define business problems and solutions appropriately - Expert in MS Excel (including VBA) and PowerPoint design & presentation - Profound knowledge in database design & ER modelling - Proficient in Metadata design and orchestration across various data stages - Exceptional knowledge of Data Quality design, validation and Governance aspects - Sound skills in PL/SQL constructs such as triggers, materialized views, functions, procedures, packages, cursors, type-casting and PL/SQL best practices - Solid knowledge of Azure and Data Warehouse architecture built on Snowflake architecture using Data Lake, Data Bricks and Data Factory - An expert in SQL and PL/SQL in MS SQL server and Oracle; a go-to person for SQL query performance tuning and complex SQL design I have had exciting opportunities across the roles of Data Analyst, Business Intelligence Assessor, Visualization Designer, Data Architect, ETL Developer and Project Manager. Feel free to connect if you want to talk Data, Technology, Chess or Gaming!

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