EasyStepIn

Data Engineering

Maximize The Value Of Your Data

Easystepin’s Data Engineering services offer a powerful combination of industry-specific expertise and function-driven innovative solutions, enabling enterprises to gain valuable insights and accelerate growth.

Our clients span diverse industries, including manufacturing, supply chain, energy, telecom, life sciences, and consumer products and services. Leveraging extensive industry expertise, Easystepin delivers tailored solutions to meet the evolving needs of enterprises.

Easystepin’s Data Engineering services encompass data advisory and strategy workshops, end-to-end implementations, managed services, technology assessments, audits, and strategic thought leadership to drive business success.

Data Engineering Offerings

Data Storage

Data Storage

Cloud Data Storage Consulting
Managed Cloud Storage Services
Data Storage Architecture Design
Cloud Storage on AWS, GCP & Azure
Cloud Data Lake & Warehouse Deployment

Data Quality

Data Quality

Data Validity
Data Integrity
Data Accuracy
Data Standardization
Data Lineage & Traceability

Big Data & Analytics

Big Data & Analytics

Data Processing
ETL/ELT Pipelines
Data Collaboration
Real-time Analytics
Machine Learning & AI

Cloud Data Engineering

Cloud Data Engineering

Scalability
Cost Management
Monitoring & Maintenance
Real-time Data Processing
Cloud Platform Familiarity

Data Governance

Data Governace

Data Lineage
Data Cataloging
Audit and Monitoring
Data Quality Management
Master Data Management (MDM)

Data Visualization

Data Visualization

Dashboards
Automation
Data Accuracy
Data Preparation
Interactive Visuals

Easystepin Key Strengths

Data Integration & ETL Automation

  • Integration of Multiple Data Sources: Easystepin helps integrate data from various sources like APIs, databases, or file systems, automating the ETL process.
  • Custom ETL Pipelines: Easystepin allows users to quickly build custom ETL pipelines without needing to code everything manually, saving time and improving efficiency.

Data Transformation

  • Automated Data Cleansing:
  • Easystepin provides features to automatically clean data, such as removing duplicates, handling missing values, and standardizing formats.
  • Data Enrichment: Easystepin allows automatic merging of additional data sources or use of external datasets to add value to existing data.

Data Storage & Management

  • Seamless Cloud Integration: Easystepin simplifies data storage in cloud platforms (AWS, Azure, GCP) by integrating with cloud storage solutions, optimizing data flow.
  • Data Lakes: Easystepin offers easy ways to set up and manage data lakes for storing large amounts of unstructured or semi-structured data.

Challenges

  • Slow data pipeline causing delays in real-time product recommendations.
  • A financial institution struggled to manage on-premises infrastructure and needed to migrate legacy systems and data to the cloud while maintaining data security and compliance.
  • A global retail brand faced issues with data silos and delayed reporting, affecting inventory and shipping.

Solutions

  • asystepin implemented a scalable cloud-based solution with real-time data streaming using Kafka and data transformation tools.
  • Easystepin migrated data to an encrypted cloud data lake, ensuring compliance with GDPR and HIPAA.
  • Easystepin integrated data from suppliers, warehouses, and shipping partners into a unified system, providing real-time insights on stock levels, sales trends, and bottlenecks.

Case Studies

Seamless SQL Integration for Databricks

EasyStepIn integrated seamless SQL connectivity for Databricks with Simba ODBC 3.8, enhancing BI tool compatibility, improving data accessibility, enabling cross-platform support, and providing scalable, future-proof analytics for efficient decision-making.

Optimizing Data Processing with Snowflake

EasyStepIn migrated the client’s data platform to Snowflake and GCP, optimizing data processing, improving query performance, reducing costs by 20%, and enabling real-time analytics for faster, data-driven decision-making.

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