Raju vittal UserRU
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Raju vittal User

@rajuvittaluser

Strategic Data Analytics Specialist with 8+ years of experience.

India

What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth.

I am a strategic Data Analytics Specialist with over 8 years of experience in driving actionable insights through scalable, data-driven solutions. My expertise lies in SQL, Python, AWS, Tableau, and Power BI, which I have utilized to fuel business improvements by translating complex requirements into reliable dashboards and reports. I excel at collaborating with stakeholders to optimize processes and enhance efficiency across diverse industries.

In my current role as a Sr. Business Intelligence Specialist at Assembly Global, I have led performance tuning initiatives that optimized complex SQL queries, achieving a remarkable 5x improvement in data processing speed. My efforts in automating data pipelines have reduced manual effort by 30%, while my work in optimizing ETL pipelines has significantly boosted ingestion speed and reliability. I have also successfully migrated reporting workflows to BigQuery, resulting in substantial cost savings and improved system reliability.

Previously, I worked as a Business Analyst at Amazon, where I automated KPI reporting workflows and delivered actionable insights that shaped customer acquisition strategies. My experience at IBM as a Data Analyst involved building interactive Tableau dashboards and utilizing Python for data cleansing, which improved operational efficiency. I am passionate about leveraging data to drive business success and am always eager to take on new challenges.

Experience

Work history, roles, and key accomplishments

AG
Current

Sr. Business Intelligence Specialist

Assembly Global

Sep 2024 - Present (9 months)

Led performance tuning initiatives that optimized complex SQL queries, yielding a 5x improvement in data processing speed. Automated data refresh and aggregation pipelines using Python, SQL, and scheduled scripts, reducing manual effort by 30%. Optimized scalable ETL pipelines and led the end-to-end migration of reporting workflows to BigQuery, driving annual cost savings of $678,000.

AM

Business Analyst

Amazon

Jun 2020 - Aug 2024 (4 years 2 months)

Automated KPI reporting workflows using Power BI, DAX, and SQL queries, improving dashboard responsiveness and enhancing real-time data visibility. Optimized complex SQL queries and dashboard performance, cutting reporting lag by 20% and enhancing user experience. Delivered actionable insights that shaped customer acquisition, retention, and engagement strategies across multiple departments.

IB

Data Analyst

IBM

Sep 2019 - Jun 2020 (9 months)

Built interactive Tableau dashboards with filters, parameters, and calculations, streamlining performance monitoring and enabling faster decision-making. Utilized Python for data cleansing, anomaly detection, and preprocessing, improving data integrity and enabling more accurate insights. Developed SQL queries to extract, transform, and aggregate large datasets from various internal databases for

QC

Associate

Quess Corp.

Jul 2016 - Mar 2019 (2 years 8 months)

Developed Macros and standardized reporting templates to automate recurring manual tasks, improving accuracy by 25% and accelerating delivery timelines. Reduced manual effort by 30% and cut turnaround time while decreasing reporting errors through advanced automation and robust data validation techniques. Leveraged SQL, Tableau, and Excel to streamline operations, automate workflows, and save 90+

Education

Degrees, certifications, and relevant coursework

Ramaiah Institute of Technology logoRT

Ramaiah Institute of Technology

Bachelor of Engineering, Information Science & Engineering

Completed a comprehensive curriculum in Information Science and Engineering, focusing on core principles and practical applications. Gained expertise in various aspects of information technology and systems.

Tech stack

Software and tools used professionally

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