Shiva Krishna

Data Engineer

New York City, New York, United States4 yrs 5 mos experience

Key Highlights

Expert in building scalable analytics platforms.
Proficient in SQL and Tableau for data visualization.
Strong collaboration skills with cross-functional teams.

Stackforce AI infers this person is a Data Analytics Specialist in the Gaming and Music Streaming industries.

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Skills

Core Skills

Data AnalysisTableauData ModelingAnalyticsSqlData Visualization

Other Skills

TalendDatabricksPython (Programming Language)PythonData ArchitectsData LoadingETL TestingDataStageLooker (Software)ci/cdCloud ComputingBig Data AnalyticsMicrosoft Power BIAzure DatabricksETL Tools

About

Analytics Engineer with 4+ years of experience building scalable analytics platforms and data-driven solutions in fast-paced digital and gaming environments. I specialize in designing impactful Tableau dashboards, developing robust SQL data models, and building end-to-end analytics pipelines using Databricks, dbt, and modern cloud data platforms. Passionate about turning complex datasets into clear, actionable insights, I partner closely with stakeholders to drive product performance, optimize user engagement, and support strategic decision-making through strong data storytelling and business-focused analytics.

Experience

Fanatics

Analytics Engineer

Nov 2024 – Mar 2026 · 1 yr 4 mos · New York, United States · On-site

Developed and maintained interactive Tableau dashboards to analyze player behavior, retention trends, and lifetime value, enabling data-driven decision-making for the Poker business.
Built and optimized analytics-focused data models and pipelines in Databricks, enhancing data freshness and improving dashboard performance by 45%.
Designed advanced player segmentation frameworks and value-based models to support targeted promotions and personalized engagement strategies.
Applied strong data modeling principles and usability standards to improve dashboard clarity, performance, and business adoption.
Collaborated closely with data engineering and data science teams to ensure high-quality, reliable, and scalable analytics datasets.
Presented actionable insights to senior leadership, influencing key commercial and operational initiatives.
Automated recurring reporting processes through self-service analytics solutions, reducing manual effort by 38%.

SQLTalendData AnalysisTableau

Spotify

Analytics Engineer

Feb 2024 – Aug 2024 · 6 mos · New York, United States · On-site

Developed scalable SQL-based data models and ELT pipelines to support marketing and product analytics.
Created Tableau dashboards tracking acquisition, engagement, and revenue KPIs for executive reporting.
Built cohort and funnel analysis frameworks to optimize user conversion and retention strategies.
Collaborated with international teams across time zones to standardize analytics processes and metrics.
Improved reporting reliability by implementing automated data validation and anomaly detection checks.
Supported ad-hoc analysis requests and complex cross-functional initiatives.
Accelerated decision-making by introducing standardized KPI definitions across departments.

SQLPython (Programming Language)Data Analysis

Artha solutions

Junior Analytics Engineer

Dec 2020 – Aug 2023 · 2 yrs 8 mos · Hyderabad · On-site

Built SQL-driven reporting tables and dashboards for marketplace performance and customer behavior analysis.
Maintained Excel-based operational reports and transitioned key metrics into Tableau.
Supported product teams with ad-hoc data analysis and metric definitions.
Assisted in building early-stage ELT pipelines and data models for analytics use cases.
Collaborated with stakeholders to identify reporting gaps and propose new analytics solutions.

Data ArchitectsPython (Programming Language)Data AnalysisSQL