Majji Kishore

Full Stack Engineer

Pune, Maharashtra, India2 yrs 10 mos experience

Key Highlights

Expert in optimizing data pipelines with PySpark.
Strong foundation in scalable backend architecture.
Passionate about user experience in data processing.

Stackforce AI infers this person is a Full-Stack Engineer specializing in Big Data and cloud-native architectures.

Contact

Skills

Core Skills

Next.jsNode.jsPysparkAzure DatabricksHadoopBig DataAmazon Web Services (aws)

Other Skills

React.jsGoogle Cloud Platform (GCP)JenkinsPythonApache Airflowhapi.jsKnex.jsPostgreSQLSnowflakeSQLdagsterData Build Tool (DBT)Cascading Style Sheets (CSS)HTMLPython (Programming Language)

About

Full-Stack Engineer with a strong foundation in backend systems and big data. At NielsenIQ, I optimized data pipelines using Hadoop and PySpark to drive product performance metrics. Currently building at scale with HackerNoon. Passionate about bridging the gap between complex data processing and seamless user experiences using Next.js and cloud-native architectures

Experience

2 yrs 10 mos

Total Experience

2 yrs 8 mos

Average Tenure

2 mos

Current Experience

Hackernoon

Full Stack Engineer

Mar 2026 – Present · 2 mos · Edwards, Colorado, United States · Remote

React.jsNode.jsNext.jsGoogle Cloud Platform (GCP)

Nielseniq

2 roles

Software Engineer

Jul 2023 – Mar 2026 · 2 yrs 8 mos · Pune District, Maharashtra, India · Hybrid

Azure DatabricksPySparkJenkinsPythonApache Airflow

Intern

Feb 2023 – May 2023 · 3 mos · Pune District, Maharashtra, India

Experienced utilising Big Data technologies such as Hadoop to effectively process and analyze large datasets.
Resolved several bugs in the data pipeline.
Developed and implemented an EQ_volume feature to establish a standardized unit for comparing product performance, thereby enhancing the accuracy and efficiency of data analysis.

PythonPySparkAzure DatabricksHadoopBig Data

Mensa brands

Back End Developer

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

Developed and enhanced a data scraping tool, addressing and resolving identified bugs.
Conducted proof-of-concept (POC) evaluations on various business intelligence (BI) tools including Metabase and Zoho Analytics, utilizing their capabilities to create visually appealing and insightful dashboards.
Explored several AWS services such as AWS Lambda, Step Functions, AWS CDK, Redshift, and S3 buckets to gain a deeper understanding of their functionalities and potential use cases.
Utilized AWS QuickSight to design and implement interactive dashboards, providing intuitive data visualization and analysis for end-users.

Amazon Web Services (AWS)Python

Navgurukul

Backend-Intern

Nov 2021 – Mar 2022 · 4 mos

Led the successful migration of the entire code base from versions 1 to 2, ensuring a smooth transition and minimizing any disruptions to the development process.
Developed and deployed a highly efficient slot-booking feature, streamlining the student's joining process and eliminating the need for manual intervention. This automation significantly improved overall efficiency and user satisfaction.
Played a key role in the development and enhancement of core APIs for the student's dashboard, ensuring seamless integration and providing a robust foundation for future feature implementations.
Designed and implemented a finite state machine that effectively managed and coordinated all possible student states within the system. This state machine optimized the user experience by accurately capturing and handling various scenarios, resulting in improved system reliability and user satisfaction.

Node.jsAmazon Web Services (AWS)hapi.jsKnex.jsPostgreSQL