Net Android

Meet with data analysts, software developers, data architects, and data scientists to identify data sets they wish to analyze. Identify the sources of data and create data pipelines to extract, transform and load data into SQL and No SQL databases. Build dashboards, develop applications, and analytical tools utilizing Python, Java, C++ to allow data analysts to extract data in desired formats. As required automate the data collection. Specifically, create and maintain data pipeline architecture used to assemble large data sets that meet functional / non-functional business requirements; Identify, design, and implement internal process improvements to optimize data delivery, re-design infrastructure for greater scalability; Build infrastructure required to extract, transform, and load data from a wide variety of data sources using relational SQL in AWS and Google Cloud platform using Splunk, Spark and Hadoop (these are big data technologies used to develop applications).

In a consulting environment, integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Analyze current information technology environments to identify and assess critical capabilities and recommend solutions. Experiment with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use case. Define and design data models to support designated use cases. Develop large scale data pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Collaborate with advanced analytics and application to transform data and integrate algorithms and models into automated processes. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Develop checks and balances to ensure integrity of the ingested data. Design systems, alerts, and dashboards to monitor data products in production. Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques.

Meet with management to gather and evaluate requirements and from requirements develop specifications pertaining to the development of hospitalist IQ (application licensed to hospitals to manage patient data). From specifications analyze and design technical specifications that meet requirements. Participate in the full development cycle including analysis, design, development, testing, implementation and documentation of required web based Internet compliant applications in a secure and robust environment utilizing JAVA J2EE, Ajax, and dhtmlxsuite (for front end development), Spring (for backend), Hibernate (tool used to connect applications to the database) and web services (methodology used to develop interfaces between applications). Provide ongoing enhancement and maintenance of completed applications. Provide client support.