Mahammad Naushad

Data Engineer

Dubai, United Arab Emirates7 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

7+ years of experience in data engineering.
Expert in Azure Databricks and ETL pipeline design.
Delivered solutions for global enterprise clients.

Stackforce AI infers this person is a Data Engineer specializing in enterprise-grade data solutions within the SaaS and Tech industries.

Contact

Skills

Core Skills

Azure DatabricksEtl / Elt Pipeline DesignPower BiData ModelingData EngineeringAiops

Other Skills

ADLAgile MethodologiesAgile Project ManagementAirflowAmazon S3Apache HiveApache ImpalaAzure Data FactoryAzure Data LakeAzure DevOpsAzure Logic AppsAzure SQLBig DataBitbucketC (Programming Language)

About

Senior Data Engineer with 7+ years of experience designing, building, and scaling enterprise-grade data platforms within the Microsoft Azure ecosystem. I specialize in Azure Databricks, PySpark, Python, SQL, Azure Data Factory, Delta Lake, ETL / ELT pipelines, and dimensional data modeling, working with both structured and unstructured data. My core strengths include: • End-to-end ETL / ELT pipeline design and optimization • Azure Databricks Lakehouse implementations using Medallion Architecture (Bronze / Silver / Gold) • PySpark-based batch and streaming data processing for structured and unstructured data • Delta Lake, Parquet, JSON, XML, and cloud data lake storage • Dimensional data modeling (Star / Snowflake schemas) and curated analytics layers • Power BI dataset design and Power BI report development, including DAX optimization and semantic model connections • Integrate and deploy AI/ML models into production-grade data and application workflows • Automation, CI/CD, and data quality improvements using Bitbucket and Jenkins I’ve delivered data solutions for global enterprise clients including Databricks, Lumen, MARS Inc., PepsiCo, and Johnson & Johnson across Telecom, FMCG, Healthcare, and Supply Chain domains—working closely with engineering, product, and business stakeholders. I focus on simplifying complex data flows, improving data reliability, and enabling teams to make faster, better decisions through clean, scalable cloud data systems.

Experience

7 yrs 10 mos

Total Experience

3 yrs 5 mos

Average Tenure

1 yr

Current Experience

Novintix

Senior Data Engineer

Jun 2025 – Present · 1 yr · Remote

Designed and built scalable data pipelines using Azure Databricks and Azure Data Factory,
processing structured and unstructured data into curated Delta Lake tables.
Implemented Medallion Architecture (Bronze / Silver / Gold) to standardize ingestion,
transformation, and analytics layers for enterprise reporting.
Developed and optimized PySpark batch and streaming jobs, applying Spark performance
tuning techniques such as partitioning strategies, caching, broadcast joins, and
efficient file formats to improve reliability and execution time.
Designed and delivered Power BI datasets and reports, including optimized DAX measures
and semantic models for business users.
Automated pipeline orchestration and deployments using CI/CD pipelines with Bitbucket
and Jenkins, reducing manual intervention and improving release reliability.
Collaborated with product owners, data analysts, and business stakeholders to translate
requirements into scalable cloud data solutions.

Azure DatabricksAzure Data FactoryDelta LakePySparkPower BICI/CD+3

C5i

Senior Data Engineer

Mar 2023 – Jun 2025 · 2 yrs 3 mos · Bengaluru, Karnataka, India · Remote

Delivered and supported enterprise data pipelines for multiple FMCG and technology
clients, ensuring stable, production-ready data ingestion and transformation workflows.
Processed high-volume structured and unstructured data using PySpark, curating datasets
in Delta Lake and Parquet formats for analytics and forecasting use cases.
Operated and maintained production ETL / ELT pipelines with 99.99% uptime, monitoring
failures, resolving incidents, and ensuring SLA compliance across environments.
Automated build, test, and deployment workflows using CI/CD pipelines with GitHub
and Azure DevOps, improving release consistency and reducing manual effort.
Designed data models and curated analytics layers aligned with Medallion Architecture
principles to support scalable and reusable reporting solutions.

PySparkDelta LakeParquetCI/CDGitHubAzure DevOps+2

Lumen technologies

2 roles

Senior Data Engineer

Promoted

Jul 2021 – Mar 2023 · 1 yr 8 mos · Bangalore Urban, Karnataka, India · On-site

Contributed to the development of an enterprise AIOps predictive platform, building
data pipelines to identify and predict critical IT outages across large-scale systems.
Developed PySpark-based batch and streaming pipelines, integrating Kafka streams
to enable near real-time anomaly detection and alerting workflows.
Processed and transformed high-volume operational data using Spark and Hadoop
components, improving data availability for analytics and monitoring use cases.
Collaborated with platform, SRE, and operations teams to improve pipeline reliability
and support proactive incident management.

PySparkKafkaHadoopData engineeringAIOps

Software Engineer

Aug 2018 – Jul 2021 · 2 yrs 11 mos · Bangalore Urban, Karnataka, India · On-site

Built and supported data ingestion and transformation pipelines using SQL, Python,
Apache Hive, and Spark to enable enterprise analytics workloads.
Developed Kafka-based data ingestion and processing workflows for operational
monitoring and reporting use cases.
Worked in Agile/Scrum teams, collaborating with cross-functional stakeholders to
deliver scalable and maintainable data engineering solutions.

SQLPythonApache HiveSparkKafkaData engineering