Gowthami A

Data Analyst @ Dell Technologies

About

🔷 About📊 Turning complex data into clear, strategic decisions.I’m a Data Analyst with 3+ years of experience transforming large-scale structured and unstructured datasets into actionable business insights that drive measurable impact. From building scalable ETL pipelines to designing executive dashboards, I specialize in making data reliable, automated, and decision-ready.Currently at Dell Technologies, I work on enterprise infrastructure analytics, leveraging Python, SQL, Apache Spark, Databricks, and Snowflake to optimize performance and reduce operational inefficiencies. I’ve helped reduce manual data preparation by 45%, improved reporting accuracy by 22%, and accelerated executive decision-making by 30% through automated, cloud-based analytics solutions.Previously at Tatvasoft, I enhanced forecast accuracy by 18% and improved reporting efficiency by 35% by developing KPI dashboards and implementing time-series and A/B testing frameworks.💡 What I Bring:End-to-end ETL pipeline development (Airflow, dbt, Snowflake)Advanced analytics & statistical modeling (Python, R, Scikit-learn)Cloud data engineering in AWS environmentsExecutive dashboarding in Power BI & TableauStrong Agile collaboration & stakeholder communication🎯 Passionate about leveraging data engineering and analytics to solve real-world business challenges, optimize performance, and enable data-driven cultures.Let’s connect and build smarter data solutions.

Country

United States

City

New York

Industry

Information Technology & Services

Skill

Informatica (automated pipelines & reporting flows), Docker, Talend, Alteryx, Data Build Tool (DBT), Apache Airflow, Kafka, Hadoop, Azure Databricks, Apache Spark, Google BigQuery, Teradata, Snowflake, MySQL, Microsoft SQL Server, PostgreSQL, Matplotlib, Seaborn, Plotly, Streamlit (interactive dashboards), Advanced Excel

Experience

Data Analyst

Dell Technologies

2025-7 - Present · 1 yr 3 mos

• Led enterprise infrastructure analytics initiative using Databricks, SQL, and Apache Spark to analyze large-scale operational data and identify critical system performance bottlenecks. • Engineered automated ETL pipelines with Apache Airflow and Databricks integrating multi-source cloud and on-prem data into Snowflake, reducing manual data preparation by 45% • Designed executive Power BI dashboards tracking infrastructure KPIs, SLA adherence, and capacity utilization, accelerating decision-making turnaround by 30%. • Applied statistical modeling and anomaly detection to uncover usage trends and cost optimization opportunities across AWS and Azure environments. • Implemented dbt-based data quality validation frameworks and automated testing scripts, decreasing reporting discrepancies by 22%. • Partnered with product, engineering, and finance teams in Agile sprints to translate business requirements into scalable analytics solutions aligned with enterprise data strategy.

Data Analyst

TatvaSoft

2021-2 - 2023-12 · 2 yrs 11 mos

• Analyzed large-scale retail transactional datasets using Python and SQL to identify seasonality trends and support demand forecasting initiatives • Increased reporting efficiency by 35% by developing automated KPI dashboards in Power BI tracking sales, retention, and revenue variance • Improved forecast accuracy by 18% through time-series modeling and A/B testing frameworks evaluating promotional campaign effectiveness. • Built and maintained ETL pipelines using Apache Airflow and dbt to streamline PostgreSQL-to-Snowflake data transformations, reducing manual intervention. • Standardized multi-source datasets using Pandas and Power Query, improving data consistency and reporting accuracy. • Developed Tableau and Plotly dashboards to communicate insights to stakeholders and support strategic planning decisions. • Conducted churn analysis using R-based statistical modeling, identifying key customer risk indicators for marketing optimization. • Integrated AWS S3 and Redshift datasets for market trend analysis, reducing report turnaround time by 40%.