Prince Dubey

Data Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Expert in building automated ETL pipelines.
Saved 200+ hours/week through BI automation.
Strong blend of analytics and business acumen.

Stackforce AI infers this person is a Fintech Data Engineer with strong capabilities in data engineering and business intelligence.

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Skills

Core Skills

Data EngineeringEtl DevelopmentBusiness IntelligenceData Analysis

Other Skills

AWS RedshiftAnalytical SkillsAnalyticsAzure DatabricksBusiness AnalysisBusiness Systems AnalysisCC++CommunicationData IntegrityData ManagementData ManipulationData ModelingData QualityData Reporting

About

Data Science Engineer at a US-based fintech startup, Neu Money, where I work on building automated ETL pipelines, streamlining financial data workflows, and enabling real-time reporting using tools like Python, SQL, and Sprinkle — all while managing data across systems like PostgreSQL and AWS Redshift. Before this, I worked with Fortune 500 clients at MuSigma across the CPG and supply chain sectors — crafting scalable data solutions that uncovered insights and drove business impact. I specialize in building clean, efficient pipelines, automating repetitive processes, and delivering insights that support high-stakes decisions. From optimizing customer retention to saving 200+ hours/week through BI automation, I focus on outcomes that matter. My stack includes Python, SQL, Power BI, PySpark, AWS (Redshift), and Sprinkle. But beyond the tech, I believe in solving meaningful problems — blending analytics with sharp business thinking and compelling storytelling. A proud Navodayan and engineer by heart, I thrive in collaborative environments and am always open to learning, sharing ideas, and building meaningful connections. Let’s connect if you're into data, product thinking, or creating real-world impact with Decisions on Data 🚀

Experience

2 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs

Current Experience

Neu

Data Engineer

May 2024 – Present · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Working with a US-based fintech startup focused on building innovative solutions in the credit and payment space for users.
Designing and automating end-to-end ETL pipelines that manage sensitive financial data across multiple systems, ensuring reliability, accuracy, and scalability.
Building data workflows from PostgreSQL to AWS Redshift, orchestrating seamless data transfers, transformations, and warehouse optimization.
Leveraging Python, SQL, and Sprinkle to automate financial reporting and credit card operations, significantly reducing manual interventions and improving time-to-insight.
Integrated external APIs using Postman to enrich internal datasets with real-time transaction data, enabling deeper analytics and enhanced personalization.
Collaborating closely with product and engineering teams to design real-time monitoring dashboards and back-end solutions for credit user insights and operational health.
Actively contributing to data modeling and architecture discussions, focusing on creating clean, reusable, and scalable data assets for business intelligence and analytics.

PythonSQLSprinklePostgreSQLAWS RedshiftData Engineering+1

Mu sigma inc.

Decision Scientist

Jul 2023 – Apr 2024 · 9 mos · Bengaluru, Karnataka, India · On-site

Worked as a Decision Scientist supporting Fortune 500 clients in the CPG and Supply Chain domains, delivering end-to-end data solutions that directly impacted business outcomes.
Built KIND 360 Global, an automated BI platform for a global CPG brand, aimed at tracking brand performance across international markets. Automated reporting processes that saved 200+ manual hours/week, using SQL, Python, PySpark, and Power BI for data transformation and dashboarding.
Designed and implemented a Customer Retention Analytics Framework, identifying churn drivers and improving retention by 15%. Used Python (Pandas), SQL, and Power BI to deliver actionable insights and executive-level visualizations.
Supported the supply chain analytics team by developing KPI trackers for forecast accuracy, inventory levels, and distribution efficiency. Helped optimize planning cycles and improved visibility across the supply chain.
Actively participated in client workshops, translated business problems into analytical workflows, and created data stories that informed strategic decisions.
This experience sharpened my ability to work across domains, solve open-ended problems, and deliver insights that drive real business value.

SQLPythonPySparkPower BIData AnalysisBusiness Intelligence