Apache Spark Engineer Job Description Template

An effective description can help you hire the best fit for your job. Check out our tips to provide details that skilled professionals are looking for.

Hire Apache Spark Engineers

Looking to find work instead?

Trusted by

Example of Apache Spark Engineer job description

Apache Spark is an open-source framework that supports both data streaming and batch processing. The engine interprets multiple programming languages, and its users can harness its power to improve data engineering, data science, and machine learning. With over 1,000 contributing software engineers and developers from hundreds of organizations, it has been leveraged by businesses across all industries to process data of any size.

Recognized as one of the world’s largest data processing clusters, even engineers with just a few years of experience are capable of learning, building, and leveraging the framework. Experienced engineers bring vast knowledge to support various functions, from enhancing processing speed to rebuilding and monitoring data pipelines. The value they add can benefit many facets of an organization.

Copy to Clipboard

The job overview

We're looking to hire a new Apache Spark engineer for our team who can help us develop and evolve a large real-time data processing system. As an expert software engineer, your problem-solving and scripting skills will help us manage business requirements to support data scientists. You'll work closely with our system designers and software developers to collaborate on interface development and data pipelines.

Responsibilities of an Apache Spark Engineer

Below are the responsibilities an Apache Spark team member:

Design and implement Spark jobs to define, schedule, monitor, and control processes
Develop and test algorithms for large-scale machine learning
Optimize Spark jobs to maximize speed and scalability while remaining data-use compliant
Manage data pipelines and acquisition processes
Perform data processing and analysis
Build machine learning models using Spark or MapReduce to visualize and present results
Work with other Spark developers and back-end data engineers to design interactive Spark pipelines
Develop REST APIs for Spark jobs

Job qualifications for an Apache Spark Engineer

Below are the qualifications for an Apache Spark engineer:

Expertise building data and processing pipelines
Familiarity with Spark engine syntax modules, including Spark SQL
Familiarity with APIs including RDD, DataFrame, Dataset, and PySpark
Fluency in programming languages including Python, Java, and Scala
Knowledge of Spark internals and streaming technology (Kafka, KSQL, etc.)
Expertise in SQL and big data processing (Hadoop ecosystems, Hive, Impala, Druid, etc.)
Familiarity with machine learning algorithms and foundations such as PyTorch
Experience with an ETL tool and expertise in managing the post-loading data
Expert in one or more distributed file systems, such as HDFS, S3, and Ceph
Familiarity with visualization tools
Familiarity with Amazon's AWS for building Apache Spark clusters

A bachelor's degree in data science, software development, and computer science isn't required for Apache Spark jobs. But having a higher certification is highly encouraged (specifically from Cloudera, MapR, or Hadoop).

Copy to Clipboard

4 steps to creating an Apache Spark Engineer job description that fits your needs

Now that you’ve become familiar with a sample job description, it’s time to make sure that it suits your own needs. Understand your business requirements and consider the following tips as you begin your search for the right Apache Spark engineer:

1. Determine what type of Apache Spark Engineer you need

Apache Spark engineers are specialists who support various functions. Some are data scientists with a goal of faster data processing, while others are responsible for monitoring, integrating, and maintaining the data pipelines. These engineers offer critical services by ensuring that your Spark jobs are well-managed, accurate, and cost-efficient.

2. Employee vs. independent contractor vs. agency

Apache Spark specialists can be hired in-house, contracted through an agency, or independently as a freelancer. Independent contractors and freelancers can fill the role of a software developer or data scientist to fulfill resourcing for short-term projects. Freelancers are responsible for their withholdings and benefits as well as training, so you should be able to find a freelancer with the skills you need, especially if you're looking for a specialist in Microsoft or AWS. Agencies have developers who can support various aspects of any job, and they'll be eager to serve as subject matter experts in any way they can. If you need an Apache Spark team member for a long-term project, it might make sense to hire a full-time employee. This commitment offers the employer rate efficiencies and usually provides the employee benefits and training.

3. Experience

The more experienced an Apache Spark engineer is, the more complex tasks they can manage for your business. Entry-level Apache Spark engineers may provide your business with a simple data stream aggregation, while a senior-level consultant will be knowledgeable at building a modular data pipeline. Some prominent data engineers may create custom integrations or data streams if you need a competitive edge.

4. Industry

Spark streaming and data science specialists have become prevalent in most industries. A skilled Apache Spark engineer can help your business optimize the world’s leading data and AI/ML tools.

Next steps

Whether you're hiring for an entry-level position or recruiting the next big data engineer, you're ready to attract qualified applicants to fill the role. Start by writing a great job description, and check out our list of top Apache Spark engineers on Upwork by exploring job boards. When you're ready to speak with candidates, be prepared with great interview questions.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this section. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

Apache Spark Engineer Hiring Resources

Explore talent to hire

Learn about cost factors

4.8/5

clients rate based on reviews

Hire Apache Spark Engineers

Apache Spark Engineers you can meet on Upwork

$45 hourly
Moises R.
- 4.9
- (10 jobs)
Barcelona, CT
Apache Spark
RESTful API
Microsoft Azure
Databricks Platform
Amazon Web Services
NoSQL Database
Apache Kafka
Docker
ETL
Python
Data Engineer with a demonstrated history of working in the consulting industry. Skilled in the development of ETL processes and the development of APIs. Proficient in Python, PostgreSQL, R, and Azure with knowledge also in AWS, Spark, and Scala. Analytical, team-oriented, and resilient. Technologies and skills: AWS Azure Databricks Data Architect Data Lake Docker Hadoop Lakehouse Microsoft Fabric MongoDB Python Spark
$40 hourly
Hassan U.
- 5.0
- (13 jobs)
Karachi, SD
Apache Spark
Microsoft Excel
Amazon RDS
Apache Airflow
Amazon S3
Amazon Redshift
dbt
Python
SQL
Data Engineering
7+ 𝗬𝗲𝗮𝗿𝘀 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸𝘀 & 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 | 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 I’m a Data Engineer and Analytics Specialist delivering production-ready data pipelines, scalable architectures, and cloud-based platforms that hold up under real-world usage. Currently pursuing a Master’s in Data Science, I seamlessly bridge the gap between heavy-duty data engineering and advanced AI/machine learning implementations. I work with founders, startups, and enterprise product teams to design, build, and optimize data systems. Whether you need to migrate legacy workflows, build an AI-powered forecasting tool on Databricks, or establish a single source of truth for your business, I build data infrastructure that performs reliably under heavy data loads. Over the years, I have successfully supported high-growth organizations across SaaS, Retail, Finance, Telecom, IoT, and Pharmaceuticals. 𝗛𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂: ✔️ Data Architecture & Warehousing: Planning, structuring, and implementing end-to-end cloud data warehouses. ✔️ Scalable ETL/ELT Pipelines: Designing, building, and optimizing robust ingestion and automation workflows. ✔️ Databricks & AI Implementation: Developing AI-enabled solutions, advanced analytics, and intelligent reporting features on Databricks. ✔️ Performance Optimization: Troubleshooting complex data pipeline bottlenecks, slow queries, and performance issues. ✔️ Workflow Automation: Turning manual data processes (like legacy Excel tracking) into automated, clean, and well-modeled data systems. ✔️ Data Infrastructure & Security: Implementing database replication, secure backups, and reliable recovery solutions. 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 (𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗳𝗼𝗰𝘂𝘀𝗲𝗱): ✔️ Data Engineering & Orchestration: Apache Airflow, Airbyte, dbt, PySpark, SparkSQL, Hadoop (Impala), Batch & Distributed Processing ✔️ Cloud & Infrastructure: Azure Databricks, Azure Data Factory, AWS (Redshift, S3, EC2, RDS, Athena, EMR), Docker, CI/CD (Jenkins) ✔️ Databases & Warehouses: SQL (PostgreSQL, MySQL, MariaDB), NoSQL (MongoDB - Aggregation Pipelines, Replication), ClickHouse ✔️ Programming & Analytics: Python, SQL, Pandas, NumPy, PyMongo, BeautifulSoup, Requests, Plotly ✔️ AI & Data Science: Databricks AI Solutions, Machine Learning Foundations, Predictive Reporting & Models 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: ✔️ Open to part-time, full-time, and long-term roles ✔️ Available for a free consultation call (discounts applied for long-term projects) 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁! If you’re looking for a senior data partner to reduce manual work, eliminate data engineering overhead, and unlock AI-driven insights for your platform, feel free to send me a message.
$150 hourly
Dan S.
- 5.0
- (17 jobs)
Corvallis, OR
Apache Spark
API
Data Analysis
Database
Amazon Web Services
Business Analysis
Snowflake
Databricks Platform
ETL Pipeline
Python
Apache Airflow
Dashboard
Tableau
SQL
As a Data and Business Intelligence Engineer, I strive to deliver consulting and freelance data engineering services, with a focus on overseeing and executing projects in alignment with customer needs. With services encompassing the full data journey, I create and implement robust data foundations that streamline process development and enable leaders to execute rapid business decisions. Three categories of service include: • Consulting: Data Strategy Development, Data & Reporting Solution Architecture, and Process Development. • Data Products/Engineering: Dashboard Development & Reporting, Data Pipelines (ETL), Process Automation, and Data Collection. • Analytics: Key Performance Indicators (KPIs), Metrics, Data Analysis, and Business Process Analysis. Leveraging over eight years of experience in business intelligence, data visualization, business analysis, and requirements analysis, I build data pipelines and translate data into actionable insights that provide a competitive edge. Tools of choice include Amazon Web Services (AWS), Databricks, Snowflake, Kafka, Snowpipe Streams, Airflow, Tableau/PowerBI, SQL, NoSQL, APIs, Python, and Spark/PySpark. Let me know what I can do for YOU!

$45 hourly
Moises R.
- 4.9
- (10 jobs)
Barcelona, CT
Apache Spark
RESTful API
Microsoft Azure
Databricks Platform
Amazon Web Services
NoSQL Database
Apache Kafka
Docker
ETL
Python
Data Engineer with a demonstrated history of working in the consulting industry. Skilled in the development of ETL processes and the development of APIs. Proficient in Python, PostgreSQL, R, and Azure with knowledge also in AWS, Spark, and Scala. Analytical, team-oriented, and resilient. Technologies and skills: AWS Azure Databricks Data Architect Data Lake Docker Hadoop Lakehouse Microsoft Fabric MongoDB Python Spark
$40 hourly
Hassan U.
- 5.0
- (13 jobs)
Karachi, SD
Apache Spark
Microsoft Excel
Amazon RDS
Apache Airflow
Amazon S3
Amazon Redshift
dbt
Python
SQL
Data Engineering
7+ 𝗬𝗲𝗮𝗿𝘀 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸𝘀 & 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 | 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 I’m a Data Engineer and Analytics Specialist delivering production-ready data pipelines, scalable architectures, and cloud-based platforms that hold up under real-world usage. Currently pursuing a Master’s in Data Science, I seamlessly bridge the gap between heavy-duty data engineering and advanced AI/machine learning implementations. I work with founders, startups, and enterprise product teams to design, build, and optimize data systems. Whether you need to migrate legacy workflows, build an AI-powered forecasting tool on Databricks, or establish a single source of truth for your business, I build data infrastructure that performs reliably under heavy data loads. Over the years, I have successfully supported high-growth organizations across SaaS, Retail, Finance, Telecom, IoT, and Pharmaceuticals. 𝗛𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂: ✔️ Data Architecture & Warehousing: Planning, structuring, and implementing end-to-end cloud data warehouses. ✔️ Scalable ETL/ELT Pipelines: Designing, building, and optimizing robust ingestion and automation workflows. ✔️ Databricks & AI Implementation: Developing AI-enabled solutions, advanced analytics, and intelligent reporting features on Databricks. ✔️ Performance Optimization: Troubleshooting complex data pipeline bottlenecks, slow queries, and performance issues. ✔️ Workflow Automation: Turning manual data processes (like legacy Excel tracking) into automated, clean, and well-modeled data systems. ✔️ Data Infrastructure & Security: Implementing database replication, secure backups, and reliable recovery solutions. 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 (𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗳𝗼𝗰𝘂𝘀𝗲𝗱): ✔️ Data Engineering & Orchestration: Apache Airflow, Airbyte, dbt, PySpark, SparkSQL, Hadoop (Impala), Batch & Distributed Processing ✔️ Cloud & Infrastructure: Azure Databricks, Azure Data Factory, AWS (Redshift, S3, EC2, RDS, Athena, EMR), Docker, CI/CD (Jenkins) ✔️ Databases & Warehouses: SQL (PostgreSQL, MySQL, MariaDB), NoSQL (MongoDB - Aggregation Pipelines, Replication), ClickHouse ✔️ Programming & Analytics: Python, SQL, Pandas, NumPy, PyMongo, BeautifulSoup, Requests, Plotly ✔️ AI & Data Science: Databricks AI Solutions, Machine Learning Foundations, Predictive Reporting & Models 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: ✔️ Open to part-time, full-time, and long-term roles ✔️ Available for a free consultation call (discounts applied for long-term projects) 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁! If you’re looking for a senior data partner to reduce manual work, eliminate data engineering overhead, and unlock AI-driven insights for your platform, feel free to send me a message.
$150 hourly
Dan S.
- 5.0
- (17 jobs)
Corvallis, OR
Apache Spark
API
Data Analysis
Database
Amazon Web Services
Business Analysis
Snowflake
Databricks Platform
ETL Pipeline
Python
Apache Airflow
Dashboard
Tableau
SQL
As a Data and Business Intelligence Engineer, I strive to deliver consulting and freelance data engineering services, with a focus on overseeing and executing projects in alignment with customer needs. With services encompassing the full data journey, I create and implement robust data foundations that streamline process development and enable leaders to execute rapid business decisions. Three categories of service include: • Consulting: Data Strategy Development, Data & Reporting Solution Architecture, and Process Development. • Data Products/Engineering: Dashboard Development & Reporting, Data Pipelines (ETL), Process Automation, and Data Collection. • Analytics: Key Performance Indicators (KPIs), Metrics, Data Analysis, and Business Process Analysis. Leveraging over eight years of experience in business intelligence, data visualization, business analysis, and requirements analysis, I build data pipelines and translate data into actionable insights that provide a competitive edge. Tools of choice include Amazon Web Services (AWS), Databricks, Snowflake, Kafka, Snowpipe Streams, Airflow, Tableau/PowerBI, SQL, NoSQL, APIs, Python, and Spark/PySpark. Let me know what I can do for YOU!
$60 hourly
Mohamed A.
- 5.0
- (18 jobs)
Giza, AL OMRANEYAH
Apache Spark
ETL Pipeline
Data Warehousing
SQL Programming
Elasticsearch
MongoDB
Database Architecture
Scala
Flask
Neo4j
Database Design
Apache Kafka
Apache Hadoop
Apache Hive
Python
Senior Data Architect & AWS Data Engineering Manager | 12+ Years Enterprise Experience I help enterprises design, build, and govern scalable data platforms that drive real business decisions — not just store data. Currently leading enterprise-wide data transformation at Publicis Sapient as AWS Data Architect for Omantel's Customer Personalization Platform — architecting real-time analytics pipelines, Data Governance frameworks using AWS DataZone, and Agentic AI solutions for advanced customer intelligence. Previously at DELL Technologies, I led migration of DELL's global data lake from Azure to on-prem Greenplum, built data pipeline strategies, and supported MLOps teams across multiple business units. What I bring to your project: End-to-end Cloud Data Architecture (AWS-certified: Data Analytics Specialty + Cloud Practitioner) Big Data Platform design & migration (Hadoop, Spark, Kafka, Hive, Airflow) Data Governance & Cataloging (AWS DataZone, Alation, Collibra) ETL/ELT pipeline engineering (Airflow, NiFi, Talend, SSIS, ODI) Database expertise: Greenplum, PostgreSQL, Oracle RAC, MSSQL Server Infrastructure as Code: Terraform (HashiCorp Certified) I've delivered data solutions across Telecom, Fintech, Banking, and Government sectors in Egypt, the Gulf, and globally. Whether you need a full architecture review, a migration plan, or hands-on engineering — I deliver.
$60 hourly
Azamat A.
- 5.0
- (3 jobs)
Kenosha, WI
Apache Spark
Jakarta EE
Android SDK
Android App Development
Data Lake
Data Modeling
Amazon Web Services
Microsoft Azure
AWS Lambda
AWS Glue
PySpark
ETL
Data Engineering
Machine Learning
Databricks Platform
SQL
Java
Python
ABOUT ME: I am Lead Data Engineer with strong software development background. I have over 10 years of professional experience in IT, 7 years of which in Data Engineering. I have MS in Software Engineering from DePaul University (Chicago, IL USA) WHAT I CAN DO FOR YOU: Having worked as a Lead Data Engineer in Fortune 500 big enterprises, I can help startups with with *developing comprehensive data governance and security strategies, *designing and implementing cloud data platforms (Azure, AWS, Databricks) * data warehouse modelling * data lake/data lakehouse modelling *cost optimization of data and ML pipelines *performance optimization of data and ML pipelines TECHNICAL SKILLS Python| Java| Scala| PySpark| Apache Spark| Apache Airflow| Databricks| AWS| Azure| AWS EMR| AWS GLUE | Azure Datafactory | Azure Synapse
$90 hourly
Mihail K.
- 5.0
- (31 jobs)
Shtip, ŠTIP
Apache Spark
Data Mining
GitLab
Docker
Google Cloud Platform
PostgreSQL
BigQuery
Terraform
Big Data
Amazon Web Services
Apache Airflow
Data Scraping
Python
ETL Pipeline
SQL
I have 6 years of experience in ETL, Big Data processing, streaming, web scraping, and infrastructure as code using Terraform. Technologies I work with: ETL: Python, Scala, PySpark, Airflow Storage: BigQuery, Cloud Storage, S3 Streaming: Apache Beam, GCP DataFlow Web Scraping: Python Databases: PostgreSQL, MongoDB, InfluxDB Infrastructure as Code: Terraform Visualization: Grafana Vendors: GCP, AWS My specialization lies in providing end-to-end solutions, ensuring seamless processes in ETL, robust handling of Big Data, efficient streaming capabilities, effective web scraping, and proficient database management. I am well-versed in utilizing Python, PySpark, and Airflow for smooth data extraction, transformation, and loading. Leveraging Apache Beam and GCP DataFlow, I enable real-time data processing. I also utilize PostgreSQL and MongoDB to efficiently store and organize data. With my expertise in Terraform, I bring automation to infrastructure management, making provisioning and maintenance hassle-free. Let's collaborate and transform your data into valuable insights. Reach out to me now, and together, we can leverage my expertise in ETL, Big Data processing, streaming, web scraping, and database management, backed by the convenience of infrastructure as code with Terraform!
$40 hourly
Tsing Z.
- 4.9
- (52 jobs)
Shenzhen, GUANGDONG
Apache Spark
React
Java
JavaScript
Scala
Elasticsearch
Web Development
Docker
OpenLayers
D3.js
Rust
Spring Boot
Apache Flink
Apache Kafka
Apache Hadoop
I'm Huanqing Zhu, and you can call me Fusion. With over 10 years of hands-on Java development experience—including 6 years dedicated to big data processing and visualization—I’ve built my expertise by staying rooted in frontline coding, even as my responsibilities have grown. A key pillar of my technical toolkit is ‌6 years of production-grade Rust development experience‌, complemented by proficiency in Java, Scala, JavaScript, HTML5, and a full stack of big data and cloud-native technologies: Apache Spark, Hadoop, Hive, Flume, HBase, Storm, Kafka, DataX, ECharts, Docker, Kubernetes, and Linux. What sets me apart is that I’ve never stepped away from writing production code, even as I’ve taken on leadership and architectural roles: As a ‌hands-on Big Data Developer‌, I’ve built robust data ingestion utilities (including the open-source DataXServer on GitHub) and real-time page click analytics systems, directly coding pipelines to pull data from RDBMS, NoSQL databases, and file storage into production environments. As a ‌Big Data Architect‌, I’ve led platform design while still contributing core code, using Hadoop, Spark, Flink, and ElasticSearch to build scalable data infrastructure—no abstract planning here; I’ve written the critical components that power these systems. As a ‌Rust Specialist‌, my 6 years of experience spans building high-performance, low-latency systems. I’ve used Rust to optimize data processing pipelines, cut latency by up to 40% in high-throughput scenarios, and deliver systems that run 24/7 with zero critical errors. As a ‌Team Leader‌, I’ve managed full-stack teams (Java, front-end, QA, operations) while still pairing with developers on complex code reviews and contributing to high-priority features, ensuring I stay connected to the day-to-day challenges of software delivery. I also bring deep experience in microservices architecture and cloud-native containerization, and my cross-language expertise lets me bridge gaps between Java-based enterprise systems and Rust-powered high-performance components. If you’re looking for a professional who combines strategic vision with the grit to deliver production-ready code—someone who can architect a system, and write the Rust or Java code that makes it run—I’m the candidate for you. Thank you for reviewing my profile. I’m eager to discuss how my hands-on experience can add value to your team.
$60 hourly
Joaquim V.
- 5.0
- (4 jobs)
Amora, SETÚBAL
Apache Spark
ETL Pipeline
Amazon Web Services
Web Scraping
API
Kubernetes
Terraform
PySpark
AWS Lambda
Apache Hadoop
Python
pandas
Apache Hive
Over the past years I have been gathering knowledge of all things data. Throughout my career I have successfully merged the concerns of data processing with those of software development, delivering datasets and tools with immense added value for my employers. As of late I have increasingly adopted the philosophy of DevOps, not only managing data transformation pipelines, but also their life-cycle and that of their supporting infrastructure, most notably by the use of Terraform in combination with AWS. I am hoping to capitalize on my accumulated expertise in a way that would not be possible on a long term job, delivering great value to individuals and companies that are willing to invest in order to reap excellent results. I am looking for projects that require a wide range of expertise and a capacity to think outside the box, projects with hard and challenging projects. I am also a fan of automation so projects that aim at a software solution for repetitive tasks (either for increased efficiency or scale) are also welcome. I hope my profile fits your requirements and I'm looking forward to hearing from interesting clients.
$40 hourly
Muhammad Umar A.
- 5.0
- (8 jobs)
Dubai, DU
Apache Spark
MLOps
Solution Architecture
Deep Neural Network
Model Tuning
Large Language Model
Microsoft Azure
Data Engineering
Python
Data Science
TensorFlow
Natural Language Processing
Deep Learning
Machine Learning
Artificial Intelligence
A seasoned Data & AI Solution Architect with over 6 years of experience delivering cutting-edge solutions in GenAI, Machine Learning, and Advanced Analytics across diverse industries, including telecom, retail, automotive, finance, and energy. I specialize in designing and implementing end-to-end data-driven solutions leveraging platforms like Databricks, AWS, Azure, and GCP, ensuring scalability, efficiency, and business impact. Key Highlights - AI Expertise: Proven success in developing AI-powered solutions, including fine-tuning LLM models (e.g., Llama-3-8B), automating workflows, and creating recommendation engines that increase customer engagement and revenue. - Generative AI: Skilled in designing and implementing Agentic AI solutions using LangGraph and Model Context Protocol (MCP), enabling AI assistants to interact with enterprise systems, APIs, databases, cloud resources, and business applications through standardized tool interfaces. Built intelligent multi-agent workflows capable of orchestrating business processes, automating decision-making, and integrating seamlessly with enterprise ecosystems. - Agentic A & MCPI: Skilled in designing and implementing Agentic AI solutions using LangGraph and Model Context Protocol (MCP), enabling AI assistants to interact with enterprise systems, APIs, databases, cloud resources, and business applications through standardized tool interfaces. - Data Engineering Excellence: Proficient in building optimized data pipelines, transforming raw data into actionable insights, and implementing Delta Lakehouse architectures to reduce costs and improve operational efficiency. - Cloud Mastery: Extensive hands-on experience in cloud environments (AWS, Azure, GCP) for deploying scalable infrastructure and integrating cloud-native AI/ML solutions. - Databricks Expertise: A Databricks-certified professional with deep expertise in Unified Analytics, Delta Live Tables, and enabling AI-driven efficiencies for large-scale enterprises. - Business Impact: Delivered measurable results, such as reducing incident handling time by 90%, increasing app engagement by 150%, and optimizing production assembly lines across 40+ plants. Certifications & Recognition - Databricks Certified (Data Engineer Professional, Machine Learning Associate, Spark Developer). - AWS Community Builder for the past 2 years, showcasing expertise and active contributions to the AI and cloud community. - 25+ certifications from Coursera in Data Science, AI, and Cloud Computing. What I Bring to the Table - A client-centric approach with a knack for understanding business challenges and aligning technical solutions to meet organizational goals. - A proven track record of leadership, having led teams of data scientists and engineers to deliver impactful projects across geographies. - Expertise in designing AI-driven systems for personalization, predictive analytics, and automation, enhancing customer experiences and driving growth.
Want to browse more talent?
Sign up