About

Vaibhav Wadikar is a collaborative engineering professional with over 5 years of substantial experience in designing and executing solutions for complex business problems involving large-scale data warehousing, real-time analytics, and reporting solutions. He is a Data Enthusiast, Data Engineer, and Big Data expert with a proven history of building large-scale data processing systems. He is known for using the right tools when and where they make sense and creating an intuitive architecture that helps organizations effectively analyze and process terabytes of structured and unstructured data. Vaibhav has experience in architecting highly scalable, distributed systems using different open source tools as well as designing and optimizing large, multi-terabyte data warehouses. He is capable of integrating state-of-the-art Big Data technologies into the overall architecture. He is also proficient in extracting data from an existing database, web sources, or APIs. He has experience in designing and implementing fast and efficient data acquisition using Big Data processing techniques and tools. Vaibhav has a bachelor's degree in Information Technology from Savitribai Phule Pune University and a post-graduate diploma in Advanced Computing from CDAC. He is currently working as a Senior Data Engineer at Innova Solutions. His previous experience includes working as a Consultant - Data Engineering at T-Systems ICT India Pvt. Ltd. and as a Data Engineer at Accubits Technologies Inc. At T-Systems ICT India Pvt. Ltd., Vaibhav was part of an analytics team responsible for catering to the analytics needs of different telecom organizations in the EU. He worked on different analytical use cases like customer churn identification, event-based retention, customer propensity, cross-selling, up-selling, etc. for different segments of customers and in different data categories. He was responsible for customer requirement analysis, high and low-level architecture designing, POC build-up, application development, data quality checks, unit testing, and guiding the junior team members. At Accubits Technologies Inc., Vaibhav worked at Smart Dubai, helping them to make Dubai the happiest city on earth through data and technology innovation. He made data available for data users (data scientists, machine learning engineers, stakeholders, decision-makers) in a neat and clean format from various data sources such as IoT devices, RDBMS, websites, OLTP, and OLAP systems using Kafka, Sqoop, Hive, Pig, Spark, and other big data tools and technologies. Vaibhav has a diverse educational background, including an Engineer’s