Help & Supportcareers@gravityer.com
2x AWS || 1x DataBricks | PySpark | Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Professional with over 7 years of experience in leading Data Engineering specialising PySpark, AWS, Databricks, and AirFlow. Proficient in Spark performance tuning and end-to-end data pipeline development. Experienced in cloud platforms like AWS and GCP.
Centre for Development of Advanced Computing (C-DAC)
Postgraduate Degree, Big Data Analytics
January 1, 2016 – January 1, 2016
Swami Ramanand Teerth Marathwada University
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering
January 1, 2009 – January 1, 2015
Yeshwant Mahavidyalaya Nanded
HSC, Science
January 1, 2007 – January 1, 2009
McAfee
Cloud Engineer
July 1, 2024 – Present
Bangalore Urban, Karnataka, India · Remote
Accenture
Software Prod & Plat Eng Specialist
December 1, 2023 – July 1, 2024
Hyderabad, Telangana, India
Accenture
Software Product And Platform Engineer
July 1, 2021 – November 1, 2023
Hyderabad, Telangana, India
Imaginea, part of Accenture
Senior Development Engineer
May 1, 2021 – July 1, 2021
Hyderabad, Telangana, India
Infinx
Data Scientist
October 1, 2019 – May 1, 2021
Mumbai, Maharashtra, India
Xooa
Software Engineer
July 1, 2019 – October 1, 2019
Pune Area, India
Myraa Technologies
Machine Learning lead
September 1, 2017 – June 1, 2019
Myraa Technologies
Machine learning
January 1, 2017 – September 1, 2017
CDAC ACTS, Pune
PG Diploma in Big Data Analytics
February 1, 2016 – August 1, 2016
Pune Area, India
IDCS, infinx services
October 1, 2019 – June 1, 2021
Product Automation using ML solutions. Technologies used, Python, Spark, Machine Learning, Opencv Python.
Data Automation, Xooa technologies
July 1, 2019 – October 1, 2019
PoC on Big Data Pipe Line. Technologies Used AWS, Spark, EMR.
Intelliparse
February 1, 2017 – March 1, 2017
I was assigned to design the classifier which was needed in the project.
Airline Analysis
June 1, 2016 – July 1, 2016
The data consists of flight arrival and departure details for all commercial flights within the USA, from October 1987 to April 1992. This is a large dataset there are nearly 25 million records in total, and takes up 4.75 gigabytes of space by different air carriers. Information on the number of on-time, delayed, canceled and diverted flights is given as well as summary tables posted on this website. we are tracking every single air carrier performance during the year 1987 to 1992.
Stack Overflow Data Analysis
May 1, 2016 – July 1, 2016
The Dataset is obtained from Stack Exchange Data Dump at the Internet archive. The data dump consisting of XML files (Posts,PostLinks,Tags,Users,Votes,Batches,Comments). We load that data onto HDFS after that we fetched data using Apache sparkR. We use HiveQL to get desired data feature provided by sparkR then perform analysis on that data.We apply machine learning to classify data as well as to predict gender of user who not specified.
Databricks Certified Data Engineer Associate
Databricks
June 24, 2026 – Present
AWS Certified Data Analytics – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse project portfolio involving ML solutions, big data pipelines, and data analysis across different domains (e.g., airline, Stack Overflow). Their experience spans various companies and roles, including Data Scientist and Machine Learning Lead, which aligns well with a data-driven culture. However, the recent shift to Cloud Engineer and Software Product roles might indicate a broader interest beyond pure data analysis, which could be a slight misalignment if the target role is strictly analytical. The breadth of skills (Python, Spark, AWS, ML) suggests adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate experience in problem-solving (designing classifiers, tracking airline performance) and working with large datasets, which suggests an analytical and detail-oriented approach. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like stress handling, team collaboration, or communication clarity in a work setting.