Data Engineering Services

Analytics and data science. Simplified.
Data Engineering Services

Data Engineering Services

In today’s digital era, business decisions are increasingly made by man and machine, enabled by deep learning and powered by analytics. This is driven through an intricately interwoven tapestry of data, algorithms, computing power and human intelligence.

Stecktra provides professional services for companies to build and maintain end-to-end data infrastructure and data driven decision making capabilities. Our expertise in Data Engineering, Data Storage, Business Intelligence, Statistical Analytics and AI/ML helps companies choose and transform to the best technologies and solutions matching their unique needs and cost considerations.

Data Engineering

Our Data Engineers are responsible for every aspect of data management, ranging from data storage and data preparation to implementing Machine Learning and Computational Algorithms at scale. As such, the data engineering services teams act as merchants of data and facilitate an effective bridge between data science models and production systems.

Stecktra's data engineering approach ensures that all right data (internal/external, structured/unstructured) are identified, sourced, cleaned, analyzed, modeled, and decisions implemented – without losing on granularity and value as the data travels through this path.

Key Offerings:

  • Implementing enterprise data warehouse and data lake solutions

  • Building the data pipelines required to transform raw data into curated datasets that can be readily consumed by business.

  • Business Intelligence, Analytics & Reporting

Technologies We Work With
  • AWS
  • Azure
  • Oracle
  • Alteryx
  • SSRS
  • Informatica
  • Tableau
  • QlikView
  • Microsoft Power BI
  • SAS
  • SAP

  • Python
  • R
  • Apache Hadoop
  • Spark
  • Hbase
  • Kafka
  • mongoDB
  • Cassandra
  • TensorFlow
  • PyTorch
Our Promise







Copyright © 2022 Stecktra. All Rights Reserved.