Akhil R.

As Director of Akhil Tech Solutions Inc., I provide expert data engineering and architecture consulting services to enterprise clients across various industries. Through this role, I have led and contributed to the design, development, and enhancement of scalable, cloud-based data platforms that drive business insights and operational efficiency. Key Clients & Engagements: OpsGuru: Designed and implemented modern data infrastructure solutions to support scalable analytics and machine learning workflows. Electronic Arts (EA): Supported the modernization of data pipelines and platforms to enhance performance, reliability, and data governance for global gaming operations. Manulife (Global Wealth and Asset Management): Architected robust data platforms to streamline investment data processing, improve reporting capabilities, and ensure compliance with industry standards. Focus Areas: Cloud Data Architecture (AWS, GCP, Azure) Scalable Data Pipelines (Spark, Kafka, Airflow) Data Warehousing & Lakehouse Solutions (Snowflake, BigQuery, Delta Lake) Infrastructure as Code (Terraform, CloudFormation) CI/CD for Data Workflows & Platform Automation I combine technical depth with business understanding to help organizations turn their data into a strategic asset.

Designed and developed the Data Engineering Career Track curriculum, shaping one of the most comprehensive programs in the field. I also mentor aspiring data engineers, guiding them through real-world projects and career transitions. Proud to have contributed to the success of 100+ professionals who have launched rewarding careers in data engineering.

As a Sr. Data Engineer working for Global Wealth Asset Management team, I am responsible to integrate data sources from various custodians into our enterprise data lake and create automated ETL pipelines for it. Responsibilities: - Automated data ingestion ( ETL) using PySpark, Kafka, Hive and AWS MSK - Developed scalable data ingestion framework using Scala, Apache Spark, HIVE and Bash Scripting

In this role, I was responsible for evaluating existing application design and provide recommendations for enhancing applications to leverage cloud technology and services. I was responsible for engaging with customer development, infrastructure, security, and IT operations teams and identifying repeatable patterns and architectures for cloud migration. Responsibilities: - Designed, deployed and operated highly available, scalable and fault-tolerant systems using Google Cloud Platform component like Dataflow, Pub/Sub, etc. - Consult clients regarding solution implementation, data models and query design

In this role, I was trusted consultant to internal business customers on Data Science topics, designed and implemented solution drive business growth. I worked on multiple projects to drive end-to-end analytics pipeline development. Responsibilitites: - Developed back-end for cloud-based data platform in Microsoft Azure (Data Factory, CosmosDB, Azure Data Lake, Log Analytics, Event Hub, Hadoop-HDInsight and Hortonworks), Terraform, Databricks (Spark), Python, Scala, Docker, Kubernetes, Apache NiFi and Apache Airflow - Managed data analytics projects and stakeholder communication - Developed end-to-end analytics pipeline for various use cases - Developed analytical solutions using Palantir Foundry - Developed marketing automation solution using Salesforce’s Composite API and Python - Used Spark Streaming and Kafka to process streaming data via Event Hub in Azure - Implemented migration of on-prem Hadoop workflows to Microsoft Azure cloud using HDInsight, Apache NiFi, Apache Spark and Apache Airflow

• Establish data analytics pipeline from various sources • Productionalized machine learning projects by collaborating with the IT department • Implemented projects using Python, Apache Airflow, Neo4j, PySpark, Docker and ELK stack • Implemented big data pipelines using Azure Data Factory and Azure Databricks • Implemented Machine Learning algorithms to solve various business problems (Parameter synthesis, Product lifecycle value estimation, predictive maintenance, etc.) • Worked with stakeholders of projects from various departments to understand and incorporate new requests and demonstrate ongoing work • Managed and mentored a team of Data Scientists, Data Engineers and Application Developers on-site and off-shore • Conducted interviews for potential new hires on-site and off-shore

• Implemented fast, accurate, robust and scalable data-processing methods in the company using various technologies (e.g. Python, SQL Databases, Cloud-based databases, etc.) • Developed and deployed new features in an agile, test-driven environment in tandem with a team of data engineers and data scientists • Built fault tolerant, self-healing, adaptive, and highly accurate data computational pipelines • Optimized data transfer processes at the code, memory and architecture level • Supported the development of Analytics & Data Management solutions with a focus on performance marketing or customer engagement as well as analytical CRM in the area of Endconsumer Solutions • Responsible for the conception and implementation of a Big Data Platform in coordination with the business teams as well as along the data / analytics strategy of the HRS Group • Performed integration of the various analytic systems as well as cloud-based partner systems and the provision of "Data as a Service" • Performed evaluation of new technologies as well as innovative solutions to support and complement the existing technology stack is also part of your field of activity