Name: Tanaji More

Job Role: Data Engineer

Experience: 3 Years 7 Months

Address: Pune, India

Skills

SQL 70%
Python 60%
DBT 60%
Snowflake 50%
Apache Airflow 55%
S3, Lambda, EC2, DynamoDB 55%
Git 60%

About

About Me

Data Engineer with 2+ years of experience in designing, building, and maintaining scalable data pipelines and data platforms. Strong expertise in ETL/ELT development using Snowflake, DBT, and Apache Airflow, with hands on experience in SQL, Python, and cloud services (AWS). Proven ability to optimize data workflows, ensure data quality, and support analytics through reliable and well-structured data infrastructure. Experienced in collaborating with analytics and business teams to deliver high-performance data solutions.

  • Profile: Data Engineer
  • Domain: Python, SQL, Snowflake, DBT, Apache Airflow, Data Modeling, Data Warehousing, ETL / ELT ,AWS (S3, Lambda, EC2, DynamoDB), Git, GitHub
  • Education: Bachelor of Computer Application
  • Language: English, Marathi, Hindi
  • Interest: Trekking, Travel, Photography

Resume

Resume

Data Engineer with 2+ years of experience in designing, building, and maintaining scalable data pipelines and data platforms. Strong expertise in ETL/ELT development using Snowflake, DBT, and Apache Airflow, with hands on experience in SQL, Python, and cloud services (AWS). Proven ability to optimize data workflows, ensure data quality, and support analytics through reliable and well-structured data infrastructure. Experienced in collaborating with analytics and business teams to deliver high-performance data solutions

Experience


2025- Present

Data Engineer

Teleperformance

  • Designed, developed, and maintained end-to-end ETL/ELT pipelines using Snowflake, DBT, and Python to support large-scale analytical and operational workloads.
  • Built and optimized DBT models with modular and version-controlled transformations, improving data reliability and scalability.
  • Implemented and managed workflow orchestration using Apache Airflow to automate data ingestion, transformation, and validation processes.
  • Integrated data from multiple sources including APIs, flat files, and cloud storage into Snowflake data warehouse.
  • Performed data modeling, query optimization, and partitioning strategies to enhance performance and reduce execution time.
  • Implemented data quality checks, monitoring, and failure handling to ensure pipeline stability and accuracy.

2022-2024

Data Analyst

RedPhantom Tech Novelty Pvt Ltd

  • Analyzed structured and semi-structured datasets using SQL and Python to identify trends, patterns, and business insights.
  • Designed and maintained interactive Power BI dashboards to track KPIs and performance metrics for stakeholders.
  • Conducted data validation, root cause analysis, and reconciliation to ensure high data accuracy.
  • Automated recurring reports and data preparation tasks, reducing manual effort by approximately 30%.
  • Collaborated with business and technical teams to translate requirements into analytical solutions.
  • Supported ETL processes using SQL and Snowflake for data transformation.
  • Gained hands-on exposure to AWS services such as S3, Lambda, and DynamoDB
  • Assisted in understanding data pipeline orchestration concepts using Apache Airflow as part of upskilling.

2021-2022

Service Delivery Executive

Neeyamo Enterprises

Neeyamo is a leading technology-enabled global payroll and EOR solutions provider for multinational and micro-multinational corporations worldwide.

  • Work for HR operations like verification of various documents in India and other countries.
  • Client Relationship Successfully fostered strong and lasting client relationships by providing exceptional customer service.
  • Used specialised tools for a comprehensive background check, including criminal record searches, employment history verifications, reference checks, and drug screenings.



Education


2018-2021

Bachelor of Computer Application

D Y Patil International University

Grade: First class distinction.

2015-2017

Higher Secondary School

Ekta More Patil Jr College

Grade: First class distinction.

Projects

Projects

Below are the sample Data Analytics and Engineering projects

Real‑Time Stocks Market Data Pipeline 🔗

• Live stock data fetched from external API
• Real-time event streaming using Apache Kafka
• Data stored in S3-compatible storage (MinIO)
• Orchestrated workflow using Apache Airflow
• Cloud data warehousing in Snowflake
• Layered data modeling (Raw → Cleaned → Business Ready)
• Transformations managed using DBT
• Analytics delivered through Power BI

End-to-End Data Warehouse & ETL Pipeline

• Built an end-to-end ETL/ELT pipeline to ingest data from APIs and AWS S3 into Snowflake.
• Developed DBT models with incremental loads and dimensional modeling for analytics-ready datasets.
• Orchestrated pipelines using Apache Airflow with automated scheduling, retries, and monitoring.
• Implemented data quality checks to ensure accuracy and reliability across datasets.

Cloud-Based Data Ingestion & Processing Pipeline 🔗

• Designed a scalable data ingestion pipeline using AWS Lambda to collect data from external sources.
• Processed and transformed raw data into curated tables in Snowflake for reporting and analytics.
• Automated workflows and failure handling using Apache Airflow.
• Optimized SQL queries and warehouse usage to improve performance and reduce costs

Weather Data Ingestion and Analysis 🔗

• Built a real-time data pipeline using AWS Lambda (Python) to fetch weather data from a Weather API and store it in Amazon DynamoDB.
• Leveraged DynamoDB Streams to automatically process and transfer data into Amazon S3.
• Integrated Snowflake (Snowpipe & External Stages) to load data from S3 for analytics.
• Automated hourly data ingestion using Amazon EventBridge, ensuring continuous and reliable data flow.

Interactive E-Commerce Sales Dashboard | Power BI 🔗

• Developed an interactive Power BI dashboard featuring a wide range of customized visualizations, including bar, pie, donut, clustered bar, scatter plots, line, area charts, maps, and slicers for data representation and analysis.
• Connected multiple data sources, joined tables, and implemented calculated fields for data manipulation and enhanced visualizations.
• Delivered actionable insights through customized, visually engaging reports tailored to business requirements.

Customer Shopping Behavior Analysis 🔗

• Analyzed customer shopping behavior using SQL and Python to identify trends, patterns, and insights for a retail business.
• Conducted exploratory data analysis (EDA) to understand customer demographics, purchase patterns, and product preferences. (discounts, reviews, seasonality, channels)
• Utilized clustering techniques to segment customers based on their shopping behavior and provided actionable recommendations for targeted marketing strategies.


Contact

Contact Me

Below are the details to reach out to me!

Address

Pune, India

Contact Number

+91 7796429796

Email Address

tanajimore33@gmai.com

Download Resume

Tanaji-More



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