build long-term | business success

for Data Engineering Services

Empower your business with innovative, user-centric applications built to enhance customer engagement and drive ROI. Partner with eBizneeds, a leading mobile development company, to seamlessly transform your ideas into high-performing apps.

Brand Visibility

With over 10 years of expertise in IT consulting across multiple platforms, we align our knowledge with your brand’s strengths to drive success and achieve your business goals. As a dedicated and results-driven partner, we collaborate closely with brands to leverage data-driven insights, creating and executing strategies that accelerate your brand’s growth.

Data Engineering

At Arnnima, we specialize in delivering top-notch data engineering services tailored to your unique business goals. With a focus on quality and innovation, our team ensures every app we create enhances user experience and drives measurable results. From design to deployment, we craft solutions that keep your business ahead in today’s competitive market.

Our expertise spans various industries, including education, healthcare, eCommerce, real estate, and more. Whether you’re looking for Android application development services, iOS apps, or cross-platform solutions, we combine creativity and technology to bring your vision to life. Trust us to be your reliable partner in achieving business success.

Discovery & Requirements Gathering

Meet with stakeholders to define business goals and data use cases. Identify data sources (internal systems, third-party APIs, cloud apps). Define data volume, frequency, latency, and storage needs.

Data Architecture Design

Design scalable data infrastructure (batch, real-time, or hybrid). Choose architecture type: Data Lake, Data Warehouse, or Lakehouse. Select tools and platforms (AWS/GCP/Azure, Snowflake, Databricks, BigQuery).

Data Ingestion & Integration

Set up connectors to ingest data from APIs, databases, cloud services, files, etc. Choose between batch (e.g., Airflow, Glue) or stream (e.g., Kafka, Spark, Flink). Implement change data capture (CDC) and real-time sync where necessary.

Data Storage & Warehousing

Store raw and processed data in cloud storage, lakes, or warehouses. Optimize storage layers: raw → staging → curated → analytics. Configure partitioning, clustering, and indexing for performance.

Data Quality & Validation

Define and enforce data quality rules (completeness, consistency, accuracy). Set up automated tests and validation checkpoints. Monitor for anomalies, missing values, or schema drift.

Data Security & Governance

Implement role-based access control (RBAC) and encryption. Set up data lineage, cataloging, and metadata management (e.g., Amundsen, Alation). Maintain audit logs and data usage policies.

AI Tech Stack We Use forDeveloping Intelligent Models

We create custom AI solutions using technology stack in order to meet the specific needs of businesses. From advanced machine learning framework to cloud platform, we utilize highly advanced tools to provide stable, scalable, innovative solutions.

Trusted byCompanies across the globe

A testimonial is a statement from a satisfied customer or client that highlights their positive experience with a product, service, or individual. It serves as a form of social proof, building credibility and trust. Testimonials help potential customers make informed decisions by showcasing real-life success stories and satisfaction.

FrequentlyAsked Questions

What type of app development services do you offer?

We provide end to end mobile app development services including native, cross platform and hybrid.

What is the average cost and timeline for developing a mobile app?

The cost and timeline of developing a mobile app depends on its complexity. Since we are a mobile app development company, we give our best efforts to complete a project on time.

Do you offer app maintenance and support services?

Yes, we provide app maintenance and support services.

Do you develop software for both mobile and web platforms?

Yes, we develop software for both mobile and web platforms.

What makes Arnnima Solution the best software and mobile app development company?

We have a team of experts who provide the best mobile app development solutions. We have more than 10 years of industry expertise, serving businesses in spheres.

How do you handle project management for software development projects?

We take up each project with utmost attention and sincerity. We understand our client’s requirements first and develop custom strategies to meet their requirements in the best way.

What software development services do you offer?

We offer a host of software development services including custom software development, mobile and web app development, UI/UX design, API development, software testing, cloud solutions, and DevOps.

How do you ensure the security and quality of the software you develop?

We follow industry best practices for security, including data encryption, secure coding standards,regular vulnerability assessments, and compliance with regulations like GDPR and HIPAA.

Do you assist with software integration and data migration?

As we are a software development company, we provide software integration and data migration services as well.

What is your approach to developing mobile apps and software?

Our approach starts with in-depth research and planning. We understand a business requirement and develop user-centric mobile apps and software that they find convenient and flexible to meet their requirements in the best way.

Developing Design Excellence

for Data Engineering Services

Let’s amplify your

Brand Visibility

Arnnima

Data Engineering

01

Requirement Gathering & Data Discovery

02

Data Ingestion

03

Data Storage Architecture

04

Data Transformation & Processing

05

Data Orchestration & Workflow Automation

06

Data Quality & Validation

Meet with stakeholders to define business goals and data use cases. Identify data sources (internal systems, third-party APIs, cloud apps). Define data volume, frequency, latency, and storage needs.

Design scalable data infrastructure (batch, real-time, or hybrid). Choose architecture type: Data Lake, Data Warehouse, or Lakehouse. Select tools and platforms (AWS/GCP/Azure, Snowflake, Databricks, BigQuery).

Set up connectors to ingest data from APIs, databases, cloud services, files, etc. Choose between batch (e.g., Airflow, Glue) or stream (e.g., Kafka, Spark, Flink). Implement change data capture (CDC) and real-time sync where necessary.

Store raw and processed data in cloud storage, lakes, or warehouses. Optimize storage layers: raw → staging → curated → analytics. Configure partitioning, clustering, and indexing for performance.

Define and enforce data quality rules (completeness, consistency, accuracy). Set up automated tests and validation checkpoints. Monitor for anomalies, missing values, or schema drift.

Implement role-based access control (RBAC) and encryption. Set up data lineage, cataloging, and metadata management (e.g., Amundsen, Alation). Maintain audit logs and data usage policies.

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