Nishtha Bhakta

About Nishtha Bhakta

500K+ saved, hours automated, and 87% fewer data anomalies - that’s the value I bring to every project.Hello, my name is Nishtha Bhakta, and I specialize in Data Engineering, Product Management, and Business Intelligence - leveraging SQL, Python, Power BI, Snowflake, AWS, and Tableau to drive data-driven decision-making and scalable product solutions.What I bring:1. Data Engineering & Data Pipelines: Built scalable ELT pipelines using SQL, Python, and API integrations, processing 2M+ records into Snowflake and optimizing data modeling for faster, more accurate analytics.2. Business Intelligence & KPI Tracking: Designed Power BI & Tableau dashboards with DAX, Row-Level Security (RLS), and KPI management, increasing data visibility by 40% and improving reporting automation.3. Product Management & Road Mapping: Led product roadmaps, backlog prioritization, sprint planning, and feature execution, aligning epics, user stories, and acceptance criteria with business objectives.4. Product Launch & Stakeholder Management: Spearheaded UAT, user training, and production support, collaborating with engineering, UX, and business teams to deliver successful product enhancements.Key Achievements:→ Automated data validation for 2M+ records, cutting validation time from 45+ minutes to 10 seconds, saving $34K in contractor costs.(Southern California Edison) → Built end-to-end data pipelines in Python, Google BigQuery, and Power BI, reducing report generation time by 98%[2 hours → 58 sec].(Sharrow Marine LLC) → Developed a Power BI finance dashboard, leveraging DAX, SQL, and KPI tracking, improving data accessibility by 40% and optimizing ACH transaction processing by 67%.(Q2 Software) → Designed an ETL framework using Spark, Airflow, Hive, and Cassandra, extracting 600+ encrypted patient records to support clinical research and analytics.(Analytics Consult) My goal: To bridge data engineering and product management by creating efficient, data-driven solutions that help teams work smarter, make better decisions, and drive real business impact.P.S. If your team is looking for someone with strong technical expertise, product vision, and a passion for data-driven problem-solving, let’s connect!

Experience

1. Analyst Ii, Business Intelligence and Analytics

   E2 Consulting Engineers, Inc.

   Jan 2024 — Present

   For Client: Southern California Edison) Spearheaded strategy and data pipeline optimization for infrastructure spanning 125K+ miles of electric lines and 1.4M+ utility poles, enabling real-time contractor performance tracking, faster emergency response, and data-driven infrastructure planning, maintenance, and compliance reporting Reengineered ELT pipelines using Python and SQL to handle 2M+ rows of daily electric pole records in Snowflake, reducing data anomalies by 87% and reducing data processing time from 3 hours to 25 minutes Automated reporting framework for 10K utility pole records/file, expediting validation time from 45+ mins to 10 sec per file, and saving $34K in field contractor and asset maintenance management cost Built SQL-based analytics to track resource allocation and contractor productivity trends, improving transparency in contractor performance, billing, and disputes, driving $500K operational cost savings in 2024 Designed and implemented a centralized Power BI dashboard using advanced DAX queries to monitor high fire-risk structures, expediting response time and reducing fire risk by 89% in Southern California Designed and implemented an automated data pipeline using Python, Prefect, DBT and Snowflake, enabling accurate asset-level change tracking, enhancing data reliability for asset management, change tracking, monitoring, and reducing reporting turnaround time by 80%

Education

• Veer Narmad South Gujarat University, Surat

  Master of Science - MS, Information Science and Technology

• Northeastern University

  Master's degree, Informatics

• University of the Cumberlands

  Master of Science - MS, Strategic Leadership

• University of the Cumberlands

  Master of Science - MS, Artificial Intelligence