SENIOR CONSULTANT LEADER Resume

SUMMARY:

Senior Consultant Leader with over 17 years of experience building solutions across various domains.

WORK HISTORY:

SENIOR CONSULTANT LEADER

Confidential

Responsibilities:

Part of the team that incubated the enterprise wide core E&P data lake which included building and evangelizing shared services across the Technology centers
Customer facing role - closely worked with Cloud Ops, SREs and SLB Services to take apps from Engineering to Production and post support.
Built multi-tenant solutions from ground up especially addressing the infrastructure and data separation.
Worked closely with Google in establishing an enterprise solution for Identity Management and data entitlements with GSuite and Firebase
Lead and built a cloud-based E&P data lake that enabled cross platform workflows across exploration, drilling and production
Built a big data platform on the cloud from the ground up leveraging micro services for automating and enabling the use of analytics and machine learning at scale - data included multi-client seismic data, public drilling data (wells, logs), production data, equipment data, etc.
Enabled data science across multiple data sets to derive, correlate and interpret. Collaborated with data scientists and domain experts to work on concrete problems like production prediction, facies classification, horizon picking, etc.
As part of expanding the big data and analytics team, built a team around building data pipelines for gathering batch data (ingestion), real time streaming of drilling data.

Platforms, Technologies and Languages:

App Engine, Kubernetes, Apache Spark, Big Table, Big Query, Data Store, Data lab for Machine Learning, Tensor Flow, Keras, matplotlib, scikit
Time Series - BigTable, InfluxDb
RemoteViz for 3d visualization, Threejs
Google Cloud GPU Compute for HPC - Job Scheduling, Airflow, Dataflow
Go language, Python, Java, JavaScript, R

SENIOR CONSULTANT

Confidential

Responsibilities:

Architected and built Drilling Analytics that leverages statistical and analytical models to find re-occurring drilling problems like stuck pipe analysis, kicks, losses that helps the customers with Non-Productive time which could be millions of dollars per day. Used big data technologies and statistical analysis tools like Hadoop, R, Teradata to mine large datasets to find correlation with geological exploration data and historical drilling data.
Also lead and architected Real-time drilling and production solutions as an extension to the analytics solution to aggregate, visualize and analyze offset wells using technologies like Apache Spark, Apache Storm and Event based analysis using Esper.

Platforms, Technologies and Languages:

SENIOR ARCHITECT

Confidential

Responsibilities:

As a Senior Consultant, worked with major clients like Whole Foods, CenterPoint Energy, etc. to help migrate their data into the cloud and build visual analytical models.

CONSULTANT SYSTEMS ARCHITECT

Confidential

Responsibilities:

Involved in the major re-write of Confidential ’s Municipal Courts System, which is one of the biggest Municipal Court System in the USA. My role as one of the chief architect is to provide insight and direction into various architectural solutions, technologies and tools that are needed for this project and the Central IT division of Confidential .
Managed and worked with a vast vendor team that was tasked with building a huge in-house application for the Confidential ’s Municipal Court.

TECHNICAL ANALYST

Confidential

Responsibilities:

I was part of the team building solutions around the upstream oil and gas industry.
Leveraged Upstream architecture for building the solutions that catered to various departments like Drilling and Completions, Fluids, Cementing, etc.
Heavily involved in building real time solutions for the Confidential Real time operation center.
Also, worked with in the Confidential division building solutions for the Chemical Engineering to pull in real time data from PI for real time visualization.
Built very innovative products to solve the issue of correctly visualizing the real time engineering data.
Decision analysis tool for allocating various tools that the company produces to different regions and locations based on the region’s current usage and revenues.
Analysis is also done to see if tools can redeployed from locations that are currently under utilizing the tools.
Correction Prevention and Improvement
This application is designed to provide the ability of monitoring and improving the job performances