yogesh nageswara rao

Yogesh Nageswara Rao

Data Engineer

Currently, working as a Data Engineer at JP Morgan Chase and Co, Wilmington, Delaware, in my search for a new challenge where I can leverage my knowledge in Data Engineering & Software Engineering, I was pleased to find an opening in your established company that I believe my recent training and experience in data processing closely match your requirements. 

During the 7.5 years of intensive Data Engineering career, I have learnt assembling large and robust Data Pipelines, Framework code base, building efficient and optimized ETL jobs in Hadoop/Spark environments integrated with AWS cloud specifically and much more. I was most interested in designing Data Pipelines and NLP. 

I understand that for this position, knowledge of big data frameworks and job orchestrators is required, which I also have experience in both as I was also involved in designing and implementing infrastructure of large scale for optimizing data delivery and automating the process end-to-end. I have also built many Data Pipelines with an ETL job running on Airflow, Oozie & Databricks integrating it with many other AWS and on-premises in-house tools & platforms, created AWS resources using Terraform modules. 

In addition to my Data Engineering expertise, I have also worked closely with Artificial Intelligence group in many of the teams, have intensive hands-on experience with building various types of reports/dashboards on Looker, Tableau & Datadog. Also, I have dealt with client teams for framework development as per their requirements and planning strategies to meet the business timelines.

Your company appeals to me as the perfect company to continue my Data Engineering career and level myself one stage above where am currently at right now. Also, I'm sure that your teams with experienced scientists and engineers enables me to hone my skills and allow me to contribute to the future success of the company.

I would welcome the opportunity to have an interview and discuss further and I look forward to hearing from you! 

Sincerely,

Yogesh Nageswara Rao

• Professional experience of 8.5+ years in IT includes comprehensive experience in working with Apache Hadoop Ecosystem-components, Spark, Splunk, Jenkins, Concourse, Looker and Amazon Web services(AWS), Databricks, Terraform, Apache Airflow. 
• Experienced in using SDLC methodologies like Waterfall, Agile Scrum for design and development.
• Have working Expertise on handling Terabytes of structured and unstructured data on significantly big Cluster Environment.
• Fully fledged with Databricks cross platforming with AWS services, Databricks Delta, a cutting edge technology by Databricks for efficient storage on S3, involved in optimizing, cleaning and compacting Unity Catalog, Metastore, building streaming applications using Kinesis and Kafka.
• Expertise in implementing Spark applications, performance tuning using memory, resource allocation and transformations.
• Expert in Hive, developing scripts in Hive, Pig, transformation & file processing, building analytics using Pig Latin Scripts.
• Hands on experience with AWS components like EC2, EKS, EMR, ELB, SNS, VPC, IAM, RDS, Lambda, Athena, Redshift, Glue ETL/crawlers, SQS, SNS, Keypairs, CloudWatch, Step-Functions, Secrets and Certificate Manager, Lake Formation, VPC, subnets, Load Balancers and S3. 
• Very well experienced in deploying and hosting the AWS infrastructure though Terraform and bash scripts.
• Well versed with Spark Structured streaming, complex stateful aggregations.
• Hands on experience dealing with AVRO, CSV and Parquet file format, following best Practices and improving the performance using Partitioning, Bucketing, Map-joins, Indexes. 
• Experience in scheduling and monitoring jobs using Oozie and Crontab, and on Databricks with suitable configurations.
• Expertise in building the deployment pipeline on Jenkins for code, on-prem service and infrastructure deployment pipelines.
• Well versed in creating dashboards, models and views on Looker.
• Experienced in creating and implementing Docker images. 
• Well versed with Microsoft Business Intelligence Tools, creating SSIS (Integration Service), SSRS (Reporting Service) and SSAS (Analysis Service) packages.
• Good exposure with the star schema, snowflake schema, data modelling, creating and using Stored Procedures, Views, User Defined Functions and working with different exception handling. 
• Experienced in fine tuning the SQL Database using SQL Server Profiler and performing tasks suggested.
• Implemented many workflows, infrastructure creation/handling pipelines on Jenkins & Concourse which was widely adopted by many others. 
• Integrated stages and tasks in the pipelines along with various other open source/company owned components such as EratoCode, SonarCube, HashVault, Chamber secrets, company artifactory, Github etc. 
• Implemented and handled enterprise-wide open-source Apache Airflow platform on AWS which was used by many teams to meet their workflow needs. 
• Worked continuously on making Airflow platform robust, customizing the operators as per the platform needs. 
• Experienced with build tool like Maven, Atlassian tools like Git, JIRA and BitBucket. 
• Handling client requirements efficiently, managing and planning the timeline for deliveries without hiccups.

Master in Computer Science, California State University, Fresno, California, May 2017, GPA: 3.7

Bachelor of Engineering, Computer Science, Acharya Institute of Technology (AIT), India, June 2015, Aggregate: 80%