Hello,
Our Data Engineering practice, involves gathering and combining data from disparate sources and building data assets to facilitate analytics that supports decision making. The outcomes of an effective data engineering process makes it possible for data scientists and data analysts to create actionable intelligence that enable organizations to improve business outcomes.
Our engineering division is capable of delivering services in the following areas:
● Architecting distributed systems
● Creating reliable pipelines
● Combining data sources
● Architecting data stores
● Collaborating with data science teams and building the right solutions for them
Technical Capabilities:
For ETL - AirFlow, Petl
Languages/Frameworks - Python, SQL, Django and Flask
Database - Oracle, MySQl, NoSql
For Data Wrangling - NumPy, SciPy, Pandas
For Visualization - D3.js, Highchart, Bokeh, Plotly, Matplotlib, Tableue
For Scrapping - Scrapy, NLTK, BeautifulSoup, Requests
For Machine Learning - TensorFlow, Scikit-learn
Servers - Apache Spark, AWS, Digital Ocean
With above mentioned experience synopsis, we certainly qualify as right candidate for your need.
Lets connect to further discuss.
Thanks,
Jatin