Solutions Engineer

• Feb 2023 - Present

Solutions Architect

• Jan 2021 - Mar 2023

Qubole is a simple, secure, and open data lake platform to accelerate machine learning, streaming, and ad hoc analytics, on data lakes. Technologies: Python, Scala, SQL, Spark, Hadoop Hive, Airflow, Presto, BI tools, Pre-sales, and post-sales support. Responsibilites and achievements: Successfully on-boarded several spark workloads into the data lake platform saving analytic costs to upto 30 percent. Devised solutions and involved in frequent customer interaction to achieve desired outcomes, saving costs and also collaborated with product management and development teams to identify potential product issues and review the product. Fixed existing terraform scripts to automatically provision accounts cutting short the account setup process by thirty minutes. Migrated large mongoDB workloads to Qubole HIVE. Assisted in many successful bake-off POVs at prospects and customers to win big data (ETL, Ad-Hoc BI and ML) workloads over} Presented value proposition and technical features to prospects including executives and live webinars with significant audience. Managing Pre/Post sales and implementation efforts for major strategic accounts. ● Pre-Sales Engineering responsibilities: Prospect qualification and discovery, Bespoke demos of the platform, catered to the prospect’s data stack. Proof-of Value projects with prospects. ● Post-Sales Engineering responsibilities: Hyper-care phase of onboarding customers to the platform, migrating existing use cases and on-boarding new use cases, Enablement and sharing sessions for customers on the platform and on technologies, proofs-of-concept for customer’s use-cases ranging from Data Engineering to Data Science. ● Troubleshooting and debugging of new features and internal betas, internal demos for the SA team on big data technologies like Spark, Airflow, and their practical usage in our customer base. ● Live Webinars to present various use cases catering to different personas such as Data Engineers, Data scientists. Show less

Scientific Computing Intern

• Jun 2019 - Aug 2019

Developing web-based scientific tools for data analysis and visualization and writing applications for parallel processing using a high performance computing cluster (Taurus) which will include adding mechanisms for summarizing results of batch blast search and adapting ways to enhance speed. Developing web-based scientific tools for data analysis and visualization and writing applications for parallel processing using a high performance computing cluster (Taurus) which will include adding mechanisms for summarizing results of batch blast search and adapting ways to enhance speed.

Software Development Engineer

• Jul 2015 - Jul 2018

Skill: C, C++, Fault tolerant storage systems. Product: Non-Branded SAN storage array (HPE MSA storage, ...). Worked as part of storage controller development team on Dothill/RealStor (SAN) storage arrays. Have extensively analyzed, provided code fixes, action plans (quick fix) for customer DU/DL cases across most of the software modules of storage array stack (RAID, Snapshot, Thin provisioning, and Tiering). Involved in multiple generation of stable/patch software releases to storage array OEM customers. Show less

Software Intern

• Apr 2013 - Jul 2013

Wrote scripts in python to automate the process of gathering details such as the virtual machine access IP, user credentials and NTP server details and also to perform the first boot which involves setting up of virtual machine node IPs using IPV6, deploying the active directory and establishing SSL(security) between nodes. Wrote scripts in python to automate the process of gathering details such as the virtual machine access IP, user credentials and NTP server details and also to perform the first boot which involves setting up of virtual machine node IPs using IPV6, deploying the active directory and establishing SSL(security) between nodes.