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Kitchener
Geedhu KV

Geedhu KV

Data Analyst/Data Engineer

Engineering / Architecture

Kitchener, Waterloo

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About Geedhu KV:

I am a data-driven problem solver with 6+ years of experience as a Data Analyst, specializing in data visualization, reporting automation, and business intelligence. My expertise includes SQL, Power BI, Tableau, and stakeholder collaboration, allowing me to translate complex business requirements into actionable insights that drive decision-making and operational efficiency.

Throughout my career, I have honed my ability to clean, structure, and analyze data from diverse sources, including Excel, APIs, and SQL databases. My work has involved developing interactive dashboards, automating manual reporting processes, and supporting organizations in leveraging data to enhance governance, risk management, and customer analytics.

Recently, I have expanded into Data Engineering, building foundational skills in Azure Databricks, Azure Data Factory, and Unity Catalog to support ETL/ELT workflows and cloud-based data integration. My experience in data pipeline development and governance is growing, and I am eager to apply my analytical mindset to scalable data solutions that optimize performance and accessibility.

With a passion for continuous learning, I have obtained certifications in Snowflake, Azure, and Databricks, strengthening my ability to manage structured and unstructured data for enterprise analytics. I thrive on collaborating with cross-functional teams, ensuring that data not only supports business goals but also becomes a strategic asset for innovation.

Experience

A data-driven analytics professional with 6+ years of experience in data analysis, reporting, and visualization, primarily within financial services and IT governance. Adept at transforming complex datasets into actionable insights, with expertise in SQL, Power BI, Tableau, and reporting automation.

Recently expanding into Data Engineering, you have built skills in Azure Databricks, Data Factory, Unity Catalog, and ETL/ELT workflows, developing optimized data pipelines for structured and unstructured data integration.

You have a strong track record of collaborating with cross-functional teams, refining data models, and implementing automation to improve reporting accuracy and efficiency. Known for proactive problem-solving, stakeholder communication, and a keen ability to align analytics solutions with business objectives, you bring both technical expertise and strategic insight to every project.

Education

  1. Postgraduate Certificate in Big Data Solution Architecture – Conestoga College (05/2023 – 04/2024)
    Focused on data engineering, cloud computing, ETL/ELT workflows, and advanced analytics using tools like Azure Databricks, Snowflake, and Python. Strengthened expertise in data modeling, governance, and business intelligence solutions.
  2. Masters of Engineering in Embedded Systems – Amrita Vishwa Vidyapeetham (08/2015 – 08/2017)
    Developed a strong foundation in data processing, automation, and system architecture, with an emphasis on algorithm design, real-time analytics, and software integration.
  3. Bachelors of Engineering in Electronics & Communication – Anna University (08/2010 – 08/2014)
    Acquired analytical skills in data structures, optimization techniques, and digital systems, laying the groundwork for data-driven problem-solving in professional environments.

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