Mujahid Niaz
Sr Specialist Solutions Engineer @Databricks
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WORK HISTORY
Sr Specialist Solutions Engineer @Databricks
Berlin, DE
As a Senior Specialist Solutions Engineer at Databricks, I play a key role in helping customers unlock the full potential of the Databricks platform through tailored technical solutions. I work closely with the Presales team to engage with customers, understand their business requirements, and design customized solutions that align with their technical needs.Key Responsibilities:Customer Engagement & Requirements Analysis: Partner with customers to understand their data challenges and business objectives, ensuring a clear technical alignment with Databricks\' offerings.Tailored Solutions & POCs: Lead the design and implementation of Proof-of-Concepts (POCs), showcasing how Databricks can solve specific customer use cases across data engineering, analytics, and machine learning.Platform Expertise: Demonstrate the capabilities of the Databricks Unified Analytics Platform (Apache Spark, Delta Lake, MLflow) across different cloud environments (AWS, Azure, GCP), enabling customers to realize scalable, high-performance data workflows.Presales Support & Technical Evangelism: Work closely with Sales and Account Teams to deliver technical presentations, demos, and workshops, driving the adoption of Databricks for data-driven innovation.Customer Enablement & Onboarding: Guide customers through successful platform adoption, providing training, best practices, and ongoing support to ensure long-term success.
EDUCATION
National University of Computer and Emerging Sciences
Bachelor of Computer Science, Computer Science
Punjab College of IT
FSc, Engineering
SKILLS
ABOUT MUJAHID NIAZ
I\'m Mujahid Niaz, a results-driven, customer-focused Big Data Engineer and Professional Services Consultant with a knack for thinking \"out of the box\". With over 4 years of experience in Software & Big Data Engineering, I\'ve honed my skills in design and integration problem-solving, working extensively with Big Data technologies such as Hadoop, Spark, Hive, Teradata, Redshift, Kinesis, EMR, S3, EC2, and RDS.My expertise extends to open-source technologies like Apache Flink, Apache Airflow, Apache Kafka, Redis, Elasticsearch, MySQL, MongoDB, and Docker. I\'m proficient in Java, Python, Scala, and C#, and I\'ve applied these skills in data processing, analysis, and design.Currently, I\'m a Big Data Engineer in Berlin, Germany, where I manage upgrades and services on AWS Cloud infrastructure, deploy and manage services using Helm Charts on Kubernetes, and build and manage ETL Data pipelines for multiple data sources to collect data in Redshift, among other responsibilities.I\'m always interested in tackling Big Data challenges and am looking for opportunities to apply my skills to complex problems. Let\'s connect if you\'re interested in discussing Big Data, software engineering, or potential collaborations.
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