Giriraj Sharma, Developer in Hyderabad, Telangana, India
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Giriraj Sharma

Bio

Giriraj is an analytics engineer with 11+ years of experience across leading global organizations, including IBM, PayPal, Tala, and Google. He specializes in designing and building robust data pipelines, establishing foundational data platforms for analytical products, and enabling data-driven decision-making at scale. Giriraj excels at bridging the gap between technical teams and business stakeholders, translating complex data requirements into impactful solutions.

Portfolio

Google
Plx, Google SQL, Plx Workflows, Python, IT Project Management
Tala
Data Build Tool (dbt), dbt Cloud, Snowflake, SQL...
PayPal
Google BigQuery, Tableau, SQL, A/B Testing

Experience

  • SQL - 11 years
  • Data Modeling - 8 years
  • Snowflake - 5 years
  • Looker - 5 years
  • Looker Modeling Language (LookML) - 5 years
  • dbt Cloud - 4 years
  • Data Build Tool (dbt) - 4 years
  • Google SQL - 2 years

Preferred Environment

GitHub, SQL, Data Build Tool (dbt), dbt Cloud, Snowflake, Looker Modeling Language (LookML), Data Analytics, Business Intelligence (BI), Data Analysis, Data Engineering

The most amazing...

...thing I've done in my career is conceptualizing and executing the raw data ingestion for Apptio CMBC in the pre-AI era, making the product more powerful.

Work Experience

Senior Business Intelligence Analyst – Analytics Engineering

2024 - 2026
Google
  • Architected and launched the end-to-end, privacy-compliant data infrastructure for the new dashboard suite.
  • Designed an innovative pre-aggregated data model to solve complex challenges with non-additive metrics, which unlocked self-service analytics for People Partners, replaced manual QBR data pulls, and was recognized with a peer bonus.
  • Led the back-end data engineering for a Workforce initiative. Designed and implemented the core data pipeline and dashboard that automated a manual, multi-week process into a workflow.
  • Designed and launched the data pipelines for another dashboard. This work enabled leaders to gain critical visibility into People development, which, in turn, drove higher adoption of this program across Google and was recognized with a peer bonus.
  • Spearheaded the foundational design of a centralized Data Mart by leading requirements-gathering with global stakeholders and creating a unified data schema. This initiative established a single source of truth for this type of data.
  • Spearheaded the migration of high-traffic recruiting dashboards to the new data infrastructure ahead of a legacy system deprecation.
  • Pioneered the use of a delegated standalone data source to resolve complex, row-level security requirements, establishing a secure and scalable data-sharing pattern for future projects.
  • Drove a major data standardization initiative for core recruiting tables. Authored and managed a multichannel communication plan to ensure hundreds of downstream users migrated to new standardized fields by the deadline with zero disruption.
  • Led multiple initiatives to centralize disconnected HR data, establishing a single source of truth for key business processes, including sensitive data for compliance analytics and employee mobility data to enable holistic lifecycle reporting.
  • Ensured operational stability and data integrity for critical people analytics pipelines as a primary on-call engineer.
Technologies: Plx, Google SQL, Plx Workflows, Python, IT Project Management

Senior Analytics Engineer

2022 - 2024
Tala
  • Completed the India Data Localization project successfully and worked as the owner of IN AE data infrastructure. It involved rewriting the Snowflake procedures, data flow modeling, and object redirections.
  • Set up the global masking and security project single-handedly, saving OpEx costs by around 40%.
  • Created dbt models, Looker dashboards, and Python scripts to automate file conversion for AML compliance reporting, which helped the company to become compliant on time.
Technologies: Data Build Tool (dbt), dbt Cloud, Snowflake, SQL, Looker Modeling Language (LookML)

Business Intelligence Analyst 3

2021 - 2022
PayPal
  • Researched and backed the product objectives as the analytics partner for funding products.
  • Drove and designed A/B tests; one of the significant outputs was improving product adoption by 15%.
  • Executed the successful UR dashboard migration from Teradata to BigQuery, saving significant man-hours and cost of ownership. It involved creating SQL code in BQ and full-cycle automation using Jupyter Notebook.
  • Created and maintained Unified Reporting Dashboard 2.0 for merchant reporting analytics. It was a major factor in accelerating the transition to the new reporting product (currently at around 40%).
Technologies: Google BigQuery, Tableau, SQL, A/B Testing

Business Intelligence Engineer II

2020 - 2021
Apptio
  • Conceptualized, designed, and developed the Google Cloud Platform module of the cloud migration reporting product. The addition of this module secured several client subscriptions, generating 43% more revenue.
  • Achieved automation of pricing data update for all the CSPs (Azure, AWS, GCP) via Python scripting.
  • Completed and received the Apptio-recognized TBMA (RTBMA) certification.
Technologies: Technology Business Management, Data Modeling, Product Management, SQL, Python

Business Intelligence Analyst

2015 - 2019
Mindtree
  • Created and maintained the Program Brief Dashboards project—a pioneer in bringing programs’ behavior into focus. Brought 20% more prints from the same customers. It became a highly successful strategy, leading to the retirement of older projects.
  • Merged shopper and daily distribution reports, enhancing distribution visibility to a significant margin. The next 3 quarters saw jumps of 23%, 25%, and 30% in prints, respectively.
  • Played a key role in redesigning the company’s strategic approach to POS data collections/modeling that resulted in boosting revenue by 8%.
Technologies: Netezza, SQL, SAS, MicroStrategy

Experience

Person Datamart IN

A datamart consisting of person tables, a data pipeline layer developed in dbt, and a Semantic layer built in Looker using LookML. This mart consisted of business-oriented dimensions related to a user (person) and universal metrics approved by product teams.

Skills

Tools

Google Sheets, GitHub, dbt Cloud, Looker, Microsoft Power BI, Tableau

Languages

SQL, Snowflake, Looker Modeling Language (LookML), Python, SAS

Platforms

Windows

Storage

Netezza

Paradigms

Business Intelligence (BI)

Other

Data Build Tool (dbt), Plx, Google SQL, Plx Workflows, IT Project Management, Data Modeling, Google BigQuery, Product Management, A/B Testing, Technology Business Management, MicroStrategy, Data Analytics, Data Analysis, Data Engineering

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