Upendra kale

Data Engineer

Pune, Maharashtra, India4 yrs 3 mos experience

Key Highlights

Expert in end-to-end data engineering and analytics.
Proficient in building robust ETL workflows.
Strong background in machine learning and data modeling.

Stackforce AI infers this person is a Data Engineering expert with a focus on SaaS and analytics.

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Skills

Core Skills

Data EngineeringEtlMachine Learning

Other Skills

Python (Programming Language)PL/SQLPower BISQLData ModelingPySparkAzure Data FactoryDatabricksOpenCVData CleaningData PreprocessingSelenium WebDriverSelenium IDEAzure DatabricksGoogle Data Studio

Experience

4 yrs 3 mos

Total Experience

2 yrs 10 mos

Average Tenure

1 yr 5 mos

Current Experience

Zensar technologies

Software Engineer DEA

Dec 2024 – Present · 1 yr 5 mos · Pune, Maharashtra, India · On-site

As part of my current role, I have been actively involved in multiple end-to-end data engineering and analytics projects, gaining hands-on experience with modern cloud-based platforms and data pipelines. Key responsibilities and contributions include:
🏀Designed and implemented ETL workflows in Microsoft Fabric, leveraging various data sources such as SQL Server, MySQL, and PostgreSQL, with Snowflake as the target system.
🥈Built data pipelines and transformations within Fabric, applying Bronze–Silver–Gold (Medallion) architecture for structured data processing and quality assurance.
👨🏻‍💻Developed and optimized SQL jobs, views, and stored procedures in Snowflake, enabling seamless data access for analytics and reporting teams.
📚Created and managed data models in both Fabric Lakehouse and Data Warehouse, ensuring data was properly stored in Delta format for performance and governance.
📈Designed and delivered Power BI dashboards to analyze video game sales, user engagement, and performance metrics, providing valuable insights to business stakeholders.
❄️Applied data lakehouse concepts for scalable storage and analytics, ensuring smooth integration between Fabric, Power BI, and Snowflake.
🏆Collaborated with teams to ensure data pipelines were robust, reliable, and optimized for reporting needs.

Python (Programming Language)PL/SQLData EngineeringETL

Anemoi technologies

3 roles

Junior data scientist

Nov 2023 – Oct 2024 · 11 mos

Served as a Data Engineer for the Vehicle Incident Detection System (VIDS) project, collecting and managing large-scale datasets from client servers. Successfully executed end-to-end ETL processes to transform and optimize data using #Azure Data Factory and # Databricks. Leveraged containers and #Azure Blob Storage for efficient data storage and processing, ensuring seamless integration across systems. Collaborated with cross-functional teams to deliver clean, structured data for advanced analytics, reporting, and visualization.

Python (Programming Language)PySparkData EngineeringETL

Junior data scientist

Apr 2022 – Oct 2024 · 2 yrs 6 mos

Responsibilities:-
#Designing ML systems.
#Researching and implementing ML algorithms and tools.
#Selecting appropriate data sets.
#Picking appropriate data representation methods.
#Identifying differences in data distribution that affects model performance.
Worked on Deep learning algorithm and Security project.
Good understanding in Data cleaning, preprocessing, Scrapping using python, Beautiful Soup,scrapy, selenium.Good understanding to create Deep learning models with OpenCV.

SQLOpenCVMachine LearningData Engineering

Software Engineer trainee

Dec 2021 – Apr 2022 · 4 mos

Responsibilities:-
# Analyzing the technical characteristics of equipment systems
#Evaluating written code to ensure it meets project specifications
#Developing quality assurance strategies and organizing phased testing with QA engineers
#Monitoring errors in the system and discussing them with other colleagues
#Helping with bug detection and fixing
Conducting product testing after its presentation
#Testing and analyzing the results
Collaborating on quality assurance within a team

Selenium WebDriverSelenium IDE