Sreyesh Shrivastav

Product Engineer

Gurugram, Haryana, India1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Python and SQL for data engineering.
Experience in data governance and quality management.
Developed dashboards for client intelligence analysis.

Stackforce AI infers this person is a Data Engineer with a focus on Fintech and Data Governance.

Contact

Skills

Core Skills

Data GovernanceData EngineeringData Visualization

Other Skills

Collibra Data Governance CenterMicrosoft SQL ServerPython (Programming Language)PythonPower BIPianoOrchestral MusicQuizCritical ThinkingMySQLData AnalysisWealth Management ServicesOperations ManagementDatabricks ProductsDashboards

About

An emerging professional data engineer & analyst proficient in Python, SQL and experienced in applications like Pyspark, Pandas, Scipy and Flask. I also have worked in visualisation and cloud platforms like Power BI, Microsoft Fabric and Azure tools. I also have some expertise in domains like data governance, data quality and management in tools like Collibra (OwlDQ). I have past and varied experiences and interests dealing in domains like finance, credits, and investment banking as well.

Experience

1 yr 3 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 3 mos

Current Experience

Nagarro

2 roles

Associate Engineer (DE/DA)

Sep 2025 – Present · 8 mos · Gurugram, Haryana, India

Data GovernanceCollibra Data Governance Center

Trainee - Technology (DA)

Jan 2025 – Aug 2025 · 7 mos · Gurugram, Haryana, India

Hands-on experience with Python, SQL Server, and Flask, delivering a working project using modular development practices.
Participated in internal assessments and feedback cycles, validating solutions and improving implementation accuracy.
Built foundational knowledge of modern data architectures, including Medallion Architecture and data lineage, using Microsoft Fabric and Power BI.
Contributed to client intelligence analysis by developing insight-driven dashboards for senior stakeholders.
Supported Data Engineering training initiatives by building test pipelines using Databricks and Azure.

Microsoft SQL ServerPython (Programming Language)Data Engineering