Oneture Technologies
Pranav Bhat is currently working as a Data Engineer at Oneture Technologies, where Pranav builds ETL pipelines using AWS and Azure technologies, focusing on PySpark, SQL, and Python. Prior to this, Pranav worked as a Data Engineer Associate at Accenture, where Pranav was familiar with ETL processes using Informatica BDM, IICS on cloud, and Databricks as a SQL platform. Pranav also completed an internship at KJ Somaiya College of Engineering, developing a Disaster Management App for relief center heads and helpers. Pranav holds a BTech in Information Technology from KJ Somaiya College of Engineering.
Oneture Technologies
Founded in 2016, Oneture is headquartered in Mumbai, India. Oneture Technologies is a cloud-first, full-service, Amazon Web Service (AWS) partner committed to delivering innovative technology solutions that solve real-life challenges. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from idea to reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance. To date, we have transformed 30+ Cloud, Bigdata and AI/ML ideas/programs into the reality for our clients in BFSI, FinTech, eCommerce, and Internet sectors - ranging from start-ups to large Fortune 1000 corporations Our core competencies and technical expertise includes: - Developing concept-to-customer innovative, scalable Digital Solutions in an agile way by following modern-day application development practices across native to cloud, serverless, bigdata analytics and AI/ML frameworks/platforms offer using Amazon AWS Cloud, MEAN, MERN, Java, Ruby on Rails, Python technologies - Helping enterprise unearth insights by architecting data-centric applications through building Big Data, Data lakes, Data Engineering, Visualization, Predictive Analytics, Data Mining, Machine Learning and real-time processing of data using Apache Spark, Hadoop, Databricks, AWS – EMR, Redshift Elasticsearch, Python, R, No SQL MongoDB, Cassandra Our key offerings: - Leverage our fully developed SaaS Reference solution for building, migrating and optimizing SaaS on AWS, it saves cost and time up to 30 - Get your data-driven strategy and the use case in 4-6 weeks from on-premises to AWS stack, we have expertise in AWS Lake Formation and big-data related services.