Jul 2018 – Dec 2018 · 5 mos · Amsterdam Area, Netherlands · On-site

• Role: Cloud Engineer.
• Tools: Kubernetes, Docker, Google Cloud, AWS, CircleCI, ELK, Prometheus, Kibana, Elasticsearch, Git, Python, Shell scripting.
• Responsibilities :
• Implement deployment process in CircleCI for Dev Team.
• Handle the production issue's on GKE (Kubernetes) production cluster and debug them.
• Implement logging and monitoring for Dev team using prometheus, grafana, kibana, elasticsearch, fluentbit.
• Writing kubernetes yaml files for the environment.
• Implement API gateway's such as Ambassador for Dev team.
• Create and launch kubernetes cluster including cert manager and extrenal DNS.
• Creating docker images for the product of different component.

Jan 2018 – Jul 2018 · 6 mos · Lodz, Lodz District, Poland · On-site

• Project -1: M-Connect 3 ( IOT tool)
• Role: Senior Integration Engineer (DevOps).
• Tools: Kubernets, Docker, Salt stack, AWS, Jenkins, Git, Python, Shell scripting.
• Responsibilities :
• Responsible for integrating and deploying end to end IOT product for the customer's such as Etisalat and Saudi telecom company.
• Handle the production issue's on validation and production cluster and debug them.
• Responsible for end to management of profiles of MNO's.
• Creating a validation and production environment for the product.
• Writing kubernets yaml files for the environment.
• Creating docker images for the product of different components.
• Writing Ansible play books for the configuration management.

Jun 2016 – Jan 2018 · 1 yr 7 mos · Pune Area, India · On-site

• Project -1: EVOC (Enterprise View of Customers)
• Client : Kohls (American department store retailing chain)
• Tools: Hadoop 2.4, HDFS, MapReduce, Pig, Hive, Azkaban, Shell Script, Sqoop.
• Description:
• 1) ESP job at client side initiates both full and delta ingestion data flows by triggering EVoC Extract Job.
• EVoC Extract Job fetches the data from Oracle Exadata. It uses Protegrity to tokenize PII columns.
• 2) EVoC Extract Job writes 6 extracts in XML format. Four main data extracts are Profile, Customer,
• Customer Group Association and Account. In addition to the main extracts, it generates an accompanying extract Reference Values containing reference codes dictionary and extract Deleted Entities with deletions information.
• 3) Each set of extracts is also supplied with a control file that serves two purposes: trigger MFT
• transfer and provide meta data. MFT transfers data extracts and accompanying meta data to
• DDH, using a directory on Hadoop Access Node as the target.
• 4) MFT agent on Access Node writes the data files to a directory mounted with NFS Gateway, so files land directly into HDFS.
• 5) Ingestion Job uses Hive to define data sets structure as a Hive table and uses Pig to transform
• the data on different stages of transformation.
• Responsibilities:
• Writing Pig, Pig UDF's and Hive Scripts to process the semistructured data.
• Writing shell scripts to automate the job.
• Writing azkaban job to automate the job flow.
• Handling the client calls and understanding the requirements on daily basis.
• Project -2: Xsuite
• Role: DevOps Engineer.
• Tools: Docker, Ansible, Packer, Vagrant, Jenkins, Sonarqube, maven, Git, Python, Shell scripting.
• Responsibilities :
• Creating Docker images with HDFS single node cluster and product installed with the help of packer and vagrant.
• Setup Jenkins server and automate the process for CI and CD.
• Writing ansible playbooks for upgrading and maintaining ubuntu servers.
• Writing python and shell scripting to automate the process.

Aug 2014 – Aug 2015 · 1 yr · Pune Area, India · On-site

• Description:
• The Iris registry is a registry built for the Ophthalmology hospitals in the USA.
• The registry is used to fetch clinical data related to ophthalmology from the client (hospital) database. This data is then stored and various quality checks are carried out. Once the data quality is confirmed reports are generated based on this data. These reports are used by the doctors of the hospitals to submit to the AAO, from which they are granted incentives based on their performance which is delivered through those reports.
• Responsibilities:
• Developed ETL programs using ETL tool (developed by the company itself) to implement the business requirements.
• Performed the data extraction, transformation and report generation phase.
• Performed data manipulations using various Informatica Transformations like Filter, Expression, Lookup (Connected and Un-Connected), Aggregate, Update Strategy, Normalizer, Joiner, Router, Sorter and Union.
• Performed scheduling through PINNACLE job scheduler.
• Worked on MS SQL, MySQL, and Oracle.
• Worked independently and completed assigned project responsibilities under limited supervision and aggressive deadlines.
• Environment: PINNACLE QMS 1.6, PINNACLE 2.0.