Jaykumar Borse

Data Engineer

Pune, Maharashtra, India3 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable ETL pipelines and data workflows.
Proficient in real-time data processing with Kafka.
Strong background in cloud-native data solutions using AWS and Azure.

Stackforce AI infers this person is a Data Engineer specializing in cloud-native data solutions and real-time data processing.

Contact

Skills

Core Skills

Data EngineeringApi Development

Other Skills

Amazon EC2Amazon Web Services (AWS)Analytical SkillsApacheApache AirflowBack-End Web DevelopmentBig DataBig Data AnalyticsC (Programming Language)C++Data AnalysisData AnalyticsData IntegrationData PipelinesData Structures

About

Data Engineer with 3 years of experience in building ETL pipelines, APIs, and large-scale data workflows. Skilled in Python, PySpark, Pandas, Polars, Apache Airflow, FastAPI, Kafka, MySQL, and Delta Tables, with proven success in optimizing performance and scalability. Hands-on with AWS Cloud services and currently expanding expertise in Azure to deliver modern, cloud-native data solutions. Open to opportunities where I can design and optimize data pipelines, APIs, and real-time systems that drive measurable business impact.

Experience

3 yrs 6 mos

Total Experience

3 yrs 6 mos

Average Tenure

3 yrs 6 mos

Current Experience

Jio platforms limited (jpl)

2 roles

Python Data Engineer

Dec 2023 – Present · 2 yrs 6 mos

Developing Robust Data Pipelines: Built scalable and efficient data pipelines using Apache Airflow, leveraging Pandas, Pyspark and Polars for advanced data manipulation and ensuring streamlined data processing workflows.
API Development: Designed and implemented high-performance APIs using FastAPI, Flask to enable seamless data access and integration across systems.
Data Variation and Anomaly Detection: Implemented models to identify data variations and anomalies using a combination of statistical methods, range-based techniques, and traditional formulas, ensuring accurate insights from vast datasets.
Data Streaming with Kafka: Integrated Kafka to push data efficiently, enabling real-time processing and enhancing system responsiveness.

Apache AirflowPandasPySparkPolarsFastAPIFlask+3