Durgesh Kadam
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 2+ years in Marketplace Analytics & ETL Development
Marketplace Data Analyst, experienced in manual data extraction from Amazon Seller Central and global marketplaces, supporting marketplace analytics workflows for 5-6 cross-functional teams. Skilled in monitoring data pipelines using Apache Airflow and validating dataset accuracy through AWS S3, with structured datasets stored and managed within Snowflake environments to support reporting workflows. Collaborate with Data Acquisition teams to implement dataset updates and fulfill evolving stakeholder reporting requirements. Regularly use GitHub and ClickUp for project coordination, workflow tracking, and managing daily reporting tasks. Provided structured marketplace datasets enabling business decision-making, brand performance tracking, and product configuration insights. MBA graduate with additional experience in lead generation, process coordination, and operations support.
K.K. Wagh College
B.Sc. · Biotechnology
N/A – June 30, 2020
Indira Global Business School
MBA · Marketing
N/A – June 30, 2023
Pattern Technologies
Marketplace Data Analyst
May 1, 2025 – March 1, 2026
India
ICICI Prudential
Premiere Relationship Manager
August 1, 2023 – December 1, 2024
India
Tata Tele Business Services
Pre-Sales (Enterprise Business)
June 1, 2022 – September 1, 2022
India
Indira Group of Institutes
Executive - Client Relations
April 1, 2022 – June 1, 2023
India
Trillium Beverages
Sales Ambassador
March 1, 2022 – May 1, 2022
India
Marketplace Data Pipeline Automation & ELT Development (Pattern Technology)
December 1, 2025 – March 1, 2026
Built and automated ELT data pipelines for 10+ marketplaces using Airflow, PySpark, AWS S3, and Snowflake. Developed scalable workflows for data ingestion, transformation, and loading, reducing manual data extraction efforts by ~70%. Processed marketplace data through AWS S3 → PySpark → Snowflake architecture to support analytics and reporting. Leveraged Docker, GitHub, and Cursor AI to accelerate SQL/Python development and deployment. Enabled faster data availability and reduced 3 days of manual work to approximately 1 day through automation. Marketplace Documentation & Data Opportunity Mapping Tools Used AWS S3, PySpark, Apache Airflow, Snowflake, Apache Iceberg, Docker, GitHub, VS Code, Cursor AI, ClickUp
Marketplace Documentation & Data Opportunity Mapping (Pattern Technology)
October 1, 2025 – March 1, 2026
Explored and documented reporting structures across multiple marketplaces to identify new data acquisition opportunities. Created a centralized Google Sheet repository covering report frequency, file formats (CSV, PDF), descriptions, and access links. Mapped marketplace analytics capabilities to support future business and data pipeline expansion. Managed data collection workflows and tracked deliverables using ClickUp, ensuring timely project completion. Tools Used Amazon Seller Central, Google Sheets, ClickUp, GitHub, Internal Chrome Extraction Tools
The Complete SQL Bootcamp: Go from Zero to Hero
Udemy
June 1, 2026 – Present
Effective Business Presentations with PowerPoint
PwC, Coursera
June 1, 2026 – Present
Data-Driven Decision Making
PwC, Coursera
June 1, 2026 – Present
Microsoft Power BI for Business Intelligence
Udemy
June 1, 2026 – Present
Master Class in Sales & Service Excellence
Dale Carnegie
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background includes a mix of technical data analysis roles and client-facing/sales roles. This diversity suggests adaptability and a customer-centric approach, which can be beneficial for a data analyst role that often requires translating technical insights for business stakeholders. The MBA in Marketing further supports a business-oriented mindset. However, the relatively short tenure in the 'Marketplace Data Analyst' role (11 months) and the transition from a non-technical role (Premiere Relationship Manager) might indicate a developing career path rather than a deeply entrenched technical one. The certifications show a proactive approach to skill development, aligning with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing data collection workflows and tracking deliverables with ClickUp. Their experience in collaborating with Data Acquisition teams and cross-functional business teams indicates good teamwork and communication. The sales and client relations background suggests strong interpersonal skills, which are valuable for understanding business requirements and presenting insights. However, the resume does not provide specific details on problem-solving methodologies or conflict resolution in a technical context.