Chinmay Joshi

Data Engineer

Nagpur, Maharashtra, India3 yrs 5 mos experience

Key Highlights

Achieved 60% boost in data pipeline efficiency.
Published IoT project contributions in international journals.
Expert in SQL optimization for data solutions.

Stackforce AI infers this person is a Data Engineer specializing in Big Data solutions within the SaaS industry.

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Skills

Core Skills

Data EngineeringBig Data

Other Skills

AirflowAmazon Web Services (AWS)Analytical SkillsApacheApache AirflowApache ImpalaApache KafkaApache NiFiApache SparkApache Spark StreamingAutomationBashCDPCloud ComputingCloudera

About

At Jio Platforms Limited, our team leverages SQL, HQL, and Python to enhance data pipeline performance, achieving a 20% improvement through meticulous SQL optimization. With a Bachelor's in Computer Science from Priyadarshini Engineering College, my foundation in data models and analytical skills enables us to derive actionable business insights and ensure robust data solutions. Passionate about integrating technology with practical applications, my contributions to IoT projects are published in international journals. Emphasizing project implementation, I am committed to continuous learning and applying my competencies to develop innovative data engineering solutions that prioritize security and compliance.

Experience

3 yrs 5 mos

Total Experience

2 yrs 8 mos

Average Tenure

9 mos

Current Experience

Rebit | reserve bank information technology pvt. ltd.

Data Engineer

Sep 2025 – Present · 9 mos · On-site

SQLHQLAirflowSqoopPythonScala+2

Jio platforms limited (jpl)

Data Engineer

Dec 2022 – Aug 2025 · 2 yrs 8 mos · Navi Mumbai, Maharashtra, India · On-site

Developed and optimized large-scale data pipelines on Cloudera, processing over 10TB of data weekly using SQL, HQL, Airflow, Sqoop, Python, and Scala. Achieved a 60% boost in pipeline efficiency and a 20% improvement in query performance through SQL optimization.
Collaborated with 5+ teams to design secure, scalable data solutions, ensuring 99.9% uptime and reducing processing time by 30%. Leveraged analytics to derive key business insights, driving a 15% increase in decision-making speed.