Data Engineering

DATA ENGINEERING SERVICES

Businesses today are generating countless data. This data is processed in a programmatic manner that should help organizations in the correct decision-making. Here is where our qualified and experienced data scientists will help you establish robust and reliable data infrastructure to optimize your data and help you in critical data-driven decision-making.

DATA ENGINEERING SERVICES

  • Data discovery & Data maturity assessment
  • Data quality checks and standardization services
  • Cloud-based scalable solutions for large volumes of data
  • Real-time and batch data processing
  • Optimization of database and data warehouse platforms
  • Advanced data analytics
  • Web API & data streaming development
  • Agile and customer-oriented work process

BENEFITS OF DATA ENGINEERING SERVICES

Our data engineering consulting services help our valued clients to become successful organizations with accurate data-driven decision-making.

How can your organization benefit from Data Engineering services?

  • Better Data-Driven decision, with well organized knowledge-base.

  • Improvement in your products and services.

  • Organizational ability to find new business opportunities by predicting behaviours based on historic data.

  • More profit with cost reduction by simplifying your data architecture.

  • Faster access to the business insights resulting in faster delivery.

OUR TECHNOLOGY TOOL STACK

data engineering services

Cloud Toolset

Analytical Databases: Big Query, Redshift, Synapse
ETL: Databricks, DataFlow, DataPrep
Scalable Compute Engines: GKE, AKS, EC2, DataProc
Process Orchestration: AirFlow / Composer, Bat
Platform Deployment & Scaling: terraform, custom tools

data engineering and analytics

Open Source

Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
Hadoop tools: hdfs, hive, pig, spark, flink
No SQL Databases: Cassandra MongoDB, Hbase, Phoenix
Process Automation: oozie, Airflow

Data Visualization Tools

Visualization Tools

Power BI
Tableau
Data Studio
D3.js

Data Engineering

Programming Skills

Python: numpy, pandas, matplotlib, scikit-learn, scipy, spark, pyspark & more.
Scala, Java
SQL, T-SQL, H-SQL, PL/SQL

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