Data Engineering

The Challenge

Organizations require an effective way to source, translate and consume data
Today, businesses need to be agile to work, grow and sustain. Achieving agility requires multiple things like:

Being able to translate data into executable and actionable intelligence.
Providing a reliable data foundation and enabling analytics with insights from a variety of data sources.
For all types of analytics, proper data preparation that allows insights from raw data is required. Insights into context-specific patterns for interactive visualizations, as well as predictive and prescriptive analytics.

Data Engineering

What We Do

Bikter Tech helps you unlock valuable insights from your data. Our data engineers work closely with your team to address the most complex challenges, so you are not only able to tackle them but also gain the internal expertise to practice your data mastery. Furthermore, we offer full data lifecycle management services, replacing our clients’ costly and siloed in-house data infrastructure and transforming big data into robust systems ready for agile business analytics.

Data Engineering

Our Offerings

DATA INGESTION

Extraction of structured and unstructured data from streaming and batch sources, as well as refining data to make it available to business users for exploration and analysis on database systems or cloud systems.

DATA CI/CD

Expertise in cloud-based deployment services for developing efficient pipelines based on infrastructure-as-code artifacts, reference/application data, database objects (schema definitions, functions, stored procedures, etc.), data pipeline definitions, and data validation and transformation logic.

DATA STORAGE & ELT / ETL

extract, process, transform and load databases into relational, non-relational, NoSQL, big data systems, and/or cloud storage, depending on data availability, size, speed, and data type.

DATA PIPELINES

Building an effective and independent data pipeline to transform and record data using different Big Data and data management tools like DF, Synapse, Informatica, etc. to process data in both batch and real-time.

DATA MODERNIZATION

An effective and smart way to migrate the enterprise data to cloud storage or new targeted platforms for better results.

REAL-TIME PROCESSING

Expert in analyzing real-time processes across different environments across distributed environments based on mobile, web hosting, and cloud services.
Data Engineering

Result We Deliver

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Increased Sales:

The rise in lead generation and the total number of sales.
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Enhanced Compliance:

Integrate regulatory and market data to align sales and distribution
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User Satisfaction:

Complete user satisfaction and empowerment
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Market Insights:

Access new customers and new market trends
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Improved Efficiency:

Leveraging operational data to improve efficiency; developing ML/AI use cases to improve sales and operations; accessing distributor data to get better supply chain visibility, identifying gaps, and improving replenishment rates.
Data Engineering