About

Sayali Datar is a LinkedIn Certified Talent Acquisition Specialist with over 6 years of experience in IT hiring. She is currently working as a Talent Acquisition Specialist at Smile CDR Inc. and is responsible for hiring Cloud Engineers, Cloud Security Analysts, DevOps Engineers, and Kubernetes Engineers for Canada and the US. Sayali is skilled in sourcing, screening, interviewing, stakeholder management, team handling, employee induction, and onboarding. Sayali is a keen communicator with the ability to relate to people across levels and working at multiple locations. She has a Masters in Personnel Management focused on Human Resources Management/Personnel Administration from MITSOM | MIT School of Management. Her core competencies lie in sourcing candidates in various areas, including languages like C/C++, PHP, Python, JAVA, C#, Ruby, and .Net, UI Development, Database, Cloud, Data Science, Big Data, RPA, CRM, DevOps, CMS, BI and Data Analytics, Mobile, SDET and QA, UX, SEO and Content Writing, and Technical Support. Sayali has worked with companies like UST and Ash Software (renamed to VillaPlus) in the past. At UST, she was a Senior Associate - Talent Recruitment and was responsible for co-ordinating with hiring managers, sourcing candidates, scheduling interviews, driving innovative sourcing strategies, conducting HR interviews, negotiating salary packages, maintaining recruitment metrics, and leading, mentoring, training, and coaching new members in the team. At Ash Software, she was a Senior Agile Technical Recruiter and was responsible for sourcing candidates, scheduling interviews, establishing networks, inspecting and adapting hiring timelines, reviewing and realigning processes, achieving weekly and monthly targets, and guiding candidates through the hiring process. Sayali has a strong command over recruitment tools and applications, including Microsoft Office Suite, Google Suite, Applicant Tracking Systems, and Sourcing Portals. She has a relevant experience of 6.7 years and is proficient in technologies like Kubernetes, DevOps, MongoDB, AWS, UI, SDET, QA, Ansible, Puppet, Deep Learning, NLP, Spark, MapReduce, CI/CD, Big Data, Designer, Python, Java, Docker, ML, Data Scientist, PHP, MySQL, MSSQL, NoSQL, Cassandra, Hadoop, Elastic Search, Kafka, iOS, Salesforce, ETL, Azure, Mobile, Search, and Apache Hive.