T

Trunali Tembhurnikar

Data Engineer

Pune, Maharashtra, India6 yrs 11 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable data processing solutions.
  • Proficient in Apache Spark and Scala for big data solutions.
  • Strong background in cloud data platforms like AWS.
Stackforce AI infers this person is a Data Engineer specializing in scalable data solutions and big data technologies.

Contact

Skills

Core Skills

Distributed Computing

Other Skills

HadoopMapReduceImage ProcessingAmazon Web Services (AWS)Data EngineeringPySparkScalaPython (Programming Language)Object-Oriented Programming (OOP)JiraREST APIsAuroraDBMongoDBSparkSqlPostgreSQL

About

Welcome to my LinkedIn profile! My name is Trunali Tembhurnikar, and I am an experienced data engineer with a passion for building efficient and scalable data processing solutions. As a professional developer with extensive experience in Scala,python and big data technologies, I bring a strong technical background and a commitment to delivering high-performance data pipelines and analytics solutions. With a solid foundation in distributed computing and data engineering principles, I specialize in crafting robust and scalable architectures that meet the evolving needs of businesses and end-users. Having graduated from VNIT Nagpur, a renowned institute known for its excellence in engineering education, I have developed a strong problem-solving mindset and technical acumen. This has enabled me to address complex challenges in the data engineering domain and deliver innovative solutions. Throughout my career, I have honed my skills in designing and implementing big data solutions using Apache Spark and Scala. I have hands-on experience in writing efficient SparkSQL queries, optimizing data transformations, and working with large-scale distributed datasets. My expertise also includes leveraging frameworks like Apache Hive, Hadoop, and Kafka to build reliable data pipelines for real-time and batch processing. In addition to my technical expertise, I have a deep understanding of cloud data platforms, such as AWS and have utilized tools like EMR, Databricks, and BigQuery for seamless data processing and analytics. My role often involves integrating and orchestrating data workflows using tools like Apache Airflow and implementing best practices for data governance and quality. I am a collaborative team player who thrives in agile environments. I have a proven track record of working effectively in cross-functional teams, mentoring junior engineers, and fostering a positive and inclusive work culture. I am passionate about staying ahead of the curve in the fast-evolving field of data engineering. I actively engage with professional communities, participate in industry conferences, and continuously explore emerging technologies to sharpen my skills and broaden my knowledge base. If you are seeking a skilled data engineer with expertise in Scala, Spark, and SparkSQL, and a dedication to delivering high-quality, scalable data solutions, I would welcome the opportunity to connect and discuss how my experience can benefit your organization.

Experience

6 yrs 11 mos
Total Experience
5 yrs 11 mos
Average Tenure
1 yr
Current Experience

Globallogic

Senior Data Engineer

May 2025Present · 1 yr

Publicis sapient

3 roles

Software Development Engineer 1

Promoted

Oct 2023May 2025 · 1 yr 7 mos

Associate Software Developement Engineer 2

Apr 2022Oct 2023 · 1 yr 6 mos

Associate Software Developement Engineer 1

Jun 2019Apr 2022 · 2 yrs 10 mos

Wipro limited

Internship Trainee

May 2018Jul 2018 · 2 mos · Greater Bengaluru Area

Visvesvaraya national institute of technology

Summer Research Student

May 2017Jul 2017 · 2 mos · Nagpur, Maharashtra, India

  • Worked on parallel and distributed computing for image processing.
HadoopMapReduceDistributed Computing

Education

Visvesvaraya National Institute of Technology

Bachelor of Technology — Computer Science

Jan 2015Jan 2019

Dr. Ambedkar College, Nagpur

Jan 2013Jan 2015

Gujarati National High School

Jan 2005Jan 2013

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