Yogesh Sethi

Data Engineer

New Delhi, Delhi, India4 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed advanced data frameworks for Snowflake.
Delivered enterprise-grade data quality solutions.
Created impactful dashboards for emissions tracking.

Stackforce AI infers this person is a Data Engineer specializing in AI and ML solutions within the Data Engineering industry.

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Skills

Core Skills

Data EngineeringData QualityData VisualizationData AnalysisMachine LearningCommunication

Other Skills

SnowflakePythonCI/CDData IngestionPower BIData GovernanceMonte CarloTableauETLPyTorchPattern RecognitionEnglishEnterprise DataProblem AnalysisDatabase Systems

About

A highly tech enthusiast who is working upon his passion and some high-end AI and ML projects that can automate things and build a smooth relationship between humans and machines. Always eager to learn something new with the help of previous insights in order to build an advanced tech ecosystem, Data is just not a subject to study but it's an ocean of knowledge where u can find incredible and ceaseless knowledge.

Experience

4 yrs 10 mos

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs 5 mos

Current Experience

Deloitte

2 roles

Data Engineer II

Promoted

Apr 2025 – Present · 1 yr 1 mo · Hybrid

Key Responsibilities & Achievements
Designed and developed a Snowpark-based audit and logging framework to improve data traceability, observability, and operational transparency across Snowflake workloads.
Built a Python-driven metadata management framework in Snowflake, enabling automated schema discovery, governance, and lineage support across enterprise datasets.
Implemented a robust CI/CD pipeline using GitHub Actions for Snowflake objects (procedures, tasks, views, tables), significantly improving deployment consistency, version control, and release efficiency.
Planned and delivered enterprise-grade Data Quality (DQ) management solutions, leveraging both third-party platforms (Monte Carlo) and in-house frameworks, ensuring data reliability and trust for U.S.-based clients.
Designed and implemented a metadata-driven, Python-based DQ framework that dynamically profiles data, suggests relevant rules, activates checks based on threshold breaches, and optimizes compute cost — reducing dependency on external tools.
Conducted knowledge transfer (KT) sessions for client teams and internal engineering groups on DQ strategy, Snowflake best practices, metadata-driven validation, and cost optimization techniques.
Developed Snowflake-based calculation procedures for Product Carbon Footprint (PCF) and ESG reporting, enabling accurate emissions tracking and regulatory compliance.
Created and published Power BI dashboards to visualize annual emissions, sustainability metrics, and compliance KPIs for legal and regulatory reporting.
Designed and implemented scalable data ingestion frameworks for Snowflake, including:
Automated ingestion of flat files from SharePoint to Snowflake
These solutions significantly improved pipeline performance, data integrity, and automation while reducing manual intervention.
Actively coordinated cross-functional teams, ensuring on-time delivery of multiple client engagements, fostering collaboration, and maintaining engineering standards.

SnowflakePythonData QualityCI/CDData IngestionPower BI+1

Associate Data engineering Analyst

Dec 2022 – Apr 2025 · 2 yrs 4 mos · Hybrid

Key Responsibilities & Achievements:
Extract and analyze large datasets from various sources; perform exploratory data analysis (EDA) to uncover trends and anomalies.
Develop Python-based data transformation scripts using libraries such as NumPy and Pandas for data cleaning and preprocessing.
Generate insightful reports and dashboards using Power BI, Tableau, and Python visualization libraries (e.g., Matplotlib, Seaborn).
Manage and maintain data pipelines within Snowflake Data Cloud, ensuring scalability and performance.
Design and implement Snowflake Snowpark-based data applications to optimize and modernize data workflows.
Execute ETL processes using tools like Informatica, IBM DataStage, and other data integration platforms.
Deliver high-quality, actionable data insights to business stakeholders to support decision-making and strategic planning.

PythonPower BITableauETLData AnalysisData Engineering

Ducat education

AI and ML intern

Nov 2021 – Jun 2022 · 7 mos · Noida, Uttar Pradesh, India · Hybrid

Summer training and internship on real time AI and ML
projects.

PyTorchPattern RecognitionMachine Learning

Data4u (data and software solutions)

Head of tech operations

Apr 2021 – Mar 2022 · 11 mos · Noida, Uttar Pradesh, India · On-site

About Us – Data4U | We Make Data Think
We are a passionate team of data engineers helping businesses unlock the full potential of their data. At Data4U, we specialize in:
Data Engineering & Analytics
Transforming raw data into meaningful insights through analysis, reporting, and predictive modeling.
Cloud Migration & Integration
Seamlessly transitioning your offline systems to the cloud using platforms like AWS, GCP, and Snowflake.
Custom Software & Application Development
Building tailored solutions to address specific business challenges with efficiency and innovation.
Plug-and-Play Solutions
Offering ready-to-deploy tools for businesses with common or pre-solved data requirements.
End-to-End Support
From data infrastructure to analytics dashboards, we provide comprehensive technical support.
At Data4U, we don’t just process data — we make data think.

Zomato

Rider

Dec 2019 – Dec 2022 · 3 yrs · Delhi, India · On-site

In this pivotal phase of my life, I juggled multiple jobs—including working as a Zomato delivery partner—to fund my education and support after a sudden financial collapse. Facing harsh weather, social judgment, and financial uncertainty, I developed resilience, discipline, and empathy.
During this time, I also studied how Zomato uses data for operations, shared insights online, and built a strong foundation in data and technology—laying the groundwork for my future in data engineering.
Key Lessons & Skills Gained:
Resilience under pressure and uncertainty
Self-discipline and time management (worked 18–20 hours/day)
Practical understanding of real-world data applications
Value of dignity in all forms of work
Importance of emotional intelligence, gratitude, and empathy
This chapter transformed not just my career, but my character—and continues to inspire everything I do as a data professional today.

Fostiima business school

Ecommerce Specialist

Jan 2018 – Jun 2019 · 1 yr 5 mos · Delhi, India

This organisation kicked my career and motivated me to do wonders in my life.. it's a united group of IITians.. and they believe that not IITian only but each and every student can do wonders in startups..

CommunicationEnglish