Open to opportunities

Triveni C

@trivenic

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I build SQL reporting, KPI dashboards, and reliable ETL pipelines for enterprise analytics.

United States

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What I'm looking for

I'm looking to build scalable analytics, reporting, and data-quality solutions where SQL, Python, BI dashboards, and cloud ETL can drive measurable business decisions.

I've delivered SQL reporting, Power BI dashboards, and automated data-quality pipelines at DXC Technology for enterprise stakeholders, reducing report generation from four minutes to under 45 seconds and cutting data incident rework to under four hours.

Previously at Dell Technologies, I built Tableau KPI dashboards, optimized Oracle SQL and PostgreSQL queries, maintained Informatica and SSIS workflows, and developed Python demand forecasting models. I work across healthcare, supply chain, and sales data using SQL, Python, Power BI, Tableau, Azure Data Factory, and dbt.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

DXC Technology

Sep 2025 - Present (11 months)

Designed SQL queries with CTEs, window functions, and execution plan analysis across a 50M+ record enterprise data warehouse, cutting average report generation time from 4 minutes to under 45 seconds for 3 business intelligence teams. Developed 18 Power BI dashboards with DAX measures and row-level security for 3 client business units, enabling self-service analytics for 200+ stakeholders and elim

SQL Window Functions Query Optimization Power BI DAX Python Pandas NumPy scikit learn Azure Data Factory Azure SQL Database Azure Data Lake Cohort Analysis Hypothesis Testing A B Testing Claude AI Microsoft Copilot Generative AI

Data Analyst

Dell Technologies

Nov 2020 - Jul 2023 (2 years 8 months)

Built 14 Tableau dashboards tracking supply chain and sales KPIs for 4 product lines, eliminating a 2-day reporting lag that previously required manual ticket requests from regional managers. Refactored 35 legacy SQL queries across Oracle SQL and PostgreSQL using CTEs and execution plan analysis, dropping average runtime from 90 seconds to under 12 seconds and freeing roughly 20 analyst hours per